Multi-Resolution Estimation of Optical Flow on Vehicle Tracking under Unpredictable Environments

Size: px
Start display at page:

Download "Multi-Resolution Estimation of Optical Flow on Vehicle Tracking under Unpredictable Environments"

Transcription

1 , pp Multi-Resolution Estimation of Optical Flow on Vehicle Tracking under Unpredictable Environments Viet Dung Do 1 and Dong-Min Woo 1 1 Department of Electronics Engineering, Myongji University, Yongin, Republic of Korea mr.dovietdung@gmail.com and dmwoo2000@gmail.com Abstract. This paper proposes a vehicle tracking system that can effectively solve a multi-resolution problem under unpredictable environments. Our system uses Scale-Invariant Feature Transform (SIFT) algorithm as the feature detector. The pyramidal Lucas Kanade optical flow algorithm using our feature tracking system is then implemented. The information after the estimation of optical flow can be used in the later tracking and detecting problems. For the purpose of evaluation, we choose the Autonomous Agents for On-Scene Networked Incident Management (ATON) project s highway video files which include moving shadows. Experimental results show good performance of our multi-resolution optical flow system. It is confirmed that the computed optical flow has very small errors in minimum eigenvalues of optical flow equations. Keywords: vehicle tracking, optical flow, multi-resolution, Scale-Invariant Feature Transform, feature tracking 1 Introduction Vehicle tracking is the process of locating a moving object or multiple objects using a camera. There is many image processing techniques for this object tracking problem [1]. Some real difficulties of vehicle tracking are tracking vehicles moving with extremely high speed, tracking a huge number of vehicles, or tracking under unpredictable situations. These situations can suddenly appear at any time, from data capturing, data processing or data storing. Data which plays an important role in this field should be in images or video files. Good quality data helps scientists implement algorithms, experiment on hypotheses, build novel processes or systems, estimate the accuracy and make comparisons with other systems. Because of this important role, data selection should be concerned carefully [2]. One of real difficulties in vehicle tracking is a multi-resolution problem. A multiresolution problem appears to be becoming more common when working with data in multi-scale and multi-view. Another popular example of multi-resolution problem is noise reduction. This is the reason why we need to pre-process the data in order to add noise in input video files. Experiments in [3][4] show promising results of correlationbased optical flow under noisy environments. In this paper, experiments are examined ISSN: ASTL Copyright 2016 SERSC

2 not only in noisy environments but also in vibration and blurring environments. The results show that our application has good accuracy with fast computation time. In order to reduce the computation time, optical flow algorithms should only be computed on interest points. Interest points [5] which are a well-defined position can be detected with affine transformations including translation, rotation, scaling etc. One of efficient corner detectors is Scale-Invariant Feature Transform (SIFT) [6]. Features detected by SIFT is useful in solving the problem between multi-views of an object or a scene, and invariant to affine transformations, even addition of noise and motion blur. After detecting strong interest points, we apply the Shi and Tomasi method [6] to track good features. By our experiments, this method will been proven effective in combination with optical flow algorithms in motion tracking generally and vehicle tracking privately. 2 The Tracking System Fig. 1 shows our overall tracking system. Our application takes video files or sequences of images as an input data. These inputs should be recorded the highway traffic by a fixed camera. The video files that are used in our experiments have moving shadows from vehicles. This will challenge our testing more. Fig. 1. Overall vehicle tracking system The pre-processing step consists of vibration effect generation, noise generation and blurring. The main goal of our application is testing tracking system under various environments. So we need to add more disadvantage effects in our inputs in order to test the system. The core of our application includes two parts: feature tracking and optical flow estimation. We apply the Scale-Invariant Feature Transform (SIFT) algorithm as a corner detector in order to detect strong interest points. After that, we can use these points as parameters in Shi and Tomasi feature tracking system. The optical flow estimation step takes the results from previous step and computes the optical flow. Copyright 2016 SERSC 33

3 We implement the iterative Lucas Kanade algorithm in combination with pyramid scheme in order to solve the multi-resolution problem. 3 Multi-Resolution of Optical Flow Image pyramid is widely used as architecture to solve the multi-resolution problem. An image pyramid is a collection of images all arising from a single original image that are successively sampled until some desired stopping point is reached. There are two types of image pyramid: the Gaussian and the Laplacian pyramids [7]. The Gaussian pyramid is used to down-sample images, while the Laplacian pyramid is used to reconstruct an up-sample image from an image lower in the pyramid. Fig. 2 illustrates three level pyramid of one frame of the video input file used in the experiment. Fig. 2. Three level pyramid. One of the difficulties when implementing Lucas Kanade algorithm is that points might be moved outside of the local windows. Then it is hard for the algorithm to find these points. This leads to the pyramidal Lucas Kanade algorithm which works starting from the highest level of an image pyramid and keep going down to lower levels. When combining the pyramidal Lucas Kanade optical flow algorithm with image pyramid after feature tracking system based on SIFT, the performance will be improved in both accuracy and time cost, especially in a multi-resolution problem. 4 Experiment We examine highway camera video files from Autonomous Agents for On-Scene Networked Incident Management (ATON) project. Our application also detects the moving shadow of vehicle in these two video files, leaves the moving shadow, and keep the motion of vehicles. The numbers of frames of the file are 440 and 500. Each frame of video file is artificially corrupted by two types of noise, additive Gaussian noise and additive Laplacian noise. The results are shown in Fig Copyright 2016 SERSC

4 The results show that our tracking system can detect all of moving vehicles. However, there are small features from moving shadows which cannot be eliminated. We examined these experiments on Intel Core i5-3570, 3.40 GHz under Microsoft Visual Studio 2010 C++ environment. Table 1 shows the computation time on two highway video files. (a) (b) (c) Fig. 3. Vehicle tracking with (a) Additive Gaussian noise at frame 12 of 440. (b) Additive Gaussian noise at frame 179 of 440. (c) Additive Laplacian noise at frame 139 of 440. (d) Additive Laplacian noise at frame 356 of 440. Table 1. Computation time on vehicle tracking under unpredictable environments. Input Environment highwayi_raw.avi (440 frames) highwayii_raw.avi (500 frames) Additive Gaussian Noise Additive Laplacian Noise The experimental results show that our application has good performance with small errors when estimating the optical flows, even under unpredictable environments. The accuracy of highwayii_raw video files is better, because the moving shadows in this input video are smaller than in highwayi_raw files. (d) 5 Conclusion We proposed a moving tracking system of moving vehicle based on optical flow and feature tracking in a multi-resolution fashion. The results show good performance when working with input data even in unfavorable environments with noise. Although Copyright 2016 SERSC 35

5 most of moving shadow is eliminated, some small features of shadow are still undetected. As an extension of this work, we need to solve more complex problems in motion tracking including vibration, blurring and lighting changes, and evaluate the performance, along with the proposed tracking system in this paper. Acknowledgments. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. NRF-2012R1A1A ). References 1. Ojha, S., Sakhare, S.: Image Processing Techniques for Object Tracking in Video Surveillance A Survey. International Conference on Pervasive Computing, pp.1--6 (2015) 2. Li, S., Yu, H., Zhang, J., Yang, K., Bin, R.: Video-Based Traffic Data Collection System for Multiple Vehicle Types, IET Intelligent Transport Systems, 8, (2013) 3. Kesrarat, D., Patanavijit, V.: Experimental Efficiency Analysis in Robust Models of Spatial Correlation Optical Flow Methods under Non Gaussian Noisy Contamination, International Conference on Electronics, Computer, Telecommunications and Information Technology (2013) 4. Lee, T., Anderson, D.: Performance Analysis of a Correlation-Based Optical Flow Algorithm under Noisy Environments, IEEE International Symposium on Circuits and Systems, pp (2006) 5. Shi, J., Tomasi, C.: Good Features to Track, IEEE Conference on Computer Vision and Pattern Recognition (1994) 6. Lowe, D.: Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, 60, (2004) 7. Burt, P., Adelson, E.: The Laplacian Pyramid as a Compact Image Code, IEEE Transaction on Communication, 31, (1983) 36 Copyright 2016 SERSC

Efficient Construction of SIFT Multi-Scale Image Pyramids for Embedded Robot Vision

Efficient Construction of SIFT Multi-Scale Image Pyramids for Embedded Robot Vision Efficient Construction of SIFT Multi-Scale Image Pyramids for Embedded Robot Vision Peter Andreas Entschev and Hugo Vieira Neto Graduate School of Electrical Engineering and Applied Computer Science Federal

More information

A VIDEO CAMERA ROAD SIGN SYSTEM OF THE EARLY WARNING FROM COLLISION WITH THE WILD ANIMALS

A VIDEO CAMERA ROAD SIGN SYSTEM OF THE EARLY WARNING FROM COLLISION WITH THE WILD ANIMALS Vol. 12, Issue 1/2016, 42-46 DOI: 10.1515/cee-2016-0006 A VIDEO CAMERA ROAD SIGN SYSTEM OF THE EARLY WARNING FROM COLLISION WITH THE WILD ANIMALS Slavomir MATUSKA 1*, Robert HUDEC 2, Patrik KAMENCAY 3,

More information

A Vehicle Speed Measurement System for Nighttime with Camera

A Vehicle Speed Measurement System for Nighttime with Camera Proceedings of the 2nd International Conference on Industrial Application Engineering 2014 A Vehicle Speed Measurement System for Nighttime with Camera Yuji Goda a,*, Lifeng Zhang a,#, Seiichi Serikawa

More information

Feasibility Tests for Visible Light Communication Scheme with Various LEDs

Feasibility Tests for Visible Light Communication Scheme with Various LEDs Feasibility Tests for Visible Light Communication Scheme with Various LEDs Dongsung Kim, Hoyeon Jung, Chungjo Yu, Dongjun Seo, Biao Zhou, Youngok Kim Department of Electronics Engineering, Kwangwoon University,

More information

An Efficient Approach to Face Recognition Using a Modified Center-Symmetric Local Binary Pattern (MCS-LBP)

An Efficient Approach to Face Recognition Using a Modified Center-Symmetric Local Binary Pattern (MCS-LBP) , pp.13-22 http://dx.doi.org/10.14257/ijmue.2015.10.8.02 An Efficient Approach to Face Recognition Using a Modified Center-Symmetric Local Binary Pattern (MCS-LBP) Anusha Alapati 1 and Dae-Seong Kang 1

More information

SURVEILLANCE SYSTEMS WITH AUTOMATIC RESTORATION OF LINEAR MOTION AND OUT-OF-FOCUS BLURRED IMAGES. Received August 2008; accepted October 2008

SURVEILLANCE SYSTEMS WITH AUTOMATIC RESTORATION OF LINEAR MOTION AND OUT-OF-FOCUS BLURRED IMAGES. Received August 2008; accepted October 2008 ICIC Express Letters ICIC International c 2008 ISSN 1881-803X Volume 2, Number 4, December 2008 pp. 409 414 SURVEILLANCE SYSTEMS WITH AUTOMATIC RESTORATION OF LINEAR MOTION AND OUT-OF-FOCUS BLURRED IMAGES

More information

Improved SIFT Matching for Image Pairs with a Scale Difference

Improved SIFT Matching for Image Pairs with a Scale Difference Improved SIFT Matching for Image Pairs with a Scale Difference Y. Bastanlar, A. Temizel and Y. Yardımcı Informatics Institute, Middle East Technical University, Ankara, 06531, Turkey Published in IET Electronics,

More information

Video Synthesis System for Monitoring Closed Sections 1

Video Synthesis System for Monitoring Closed Sections 1 Video Synthesis System for Monitoring Closed Sections 1 Taehyeong Kim *, 2 Bum-Jin Park 1 Senior Researcher, Korea Institute of Construction Technology, Korea 2 Senior Researcher, Korea Institute of Construction

More information

An Adaptive Kernel-Growing Median Filter for High Noise Images. Jacob Laurel. Birmingham, AL, USA. Birmingham, AL, USA

An Adaptive Kernel-Growing Median Filter for High Noise Images. Jacob Laurel. Birmingham, AL, USA. Birmingham, AL, USA An Adaptive Kernel-Growing Median Filter for High Noise Images Jacob Laurel Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA Electrical and Computer

More information

Tan-Hsu Tan Dept. of Electrical Engineering National Taipei University of Technology Taipei, Taiwan (ROC)

Tan-Hsu Tan Dept. of Electrical Engineering National Taipei University of Technology Taipei, Taiwan (ROC) Munkhjargal Gochoo, Damdinsuren Bayanduuren, Uyangaa Khuchit, Galbadrakh Battur School of Information and Communications Technology, Mongolian University of Science and Technology Ulaanbaatar, Mongolia

More information

PERFORMANCE ANALYSIS OF LINEAR AND NON LINEAR FILTERS FOR IMAGE DE NOISING

PERFORMANCE ANALYSIS OF LINEAR AND NON LINEAR FILTERS FOR IMAGE DE NOISING Impact Factor (SJIF): 5.301 International Journal of Advance Research in Engineering, Science & Technology e-issn: 2393-9877, p-issn: 2394-2444 Volume 5, Issue 3, March - 2018 PERFORMANCE ANALYSIS OF LINEAR

More information

Number Plate Detection with a Multi-Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices

Number Plate Detection with a Multi-Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices J Inf Process Syst, Vol.12, No.1, pp.100~108, March 2016 http://dx.doi.org/10.3745/jips.04.0022 ISSN 1976-913X (Print) ISSN 2092-805X (Electronic) Number Plate Detection with a Multi-Convolutional Neural

More information

Linear Gaussian Method to Detect Blurry Digital Images using SIFT

Linear Gaussian Method to Detect Blurry Digital Images using SIFT IJCAES ISSN: 2231-4946 Volume III, Special Issue, November 2013 International Journal of Computer Applications in Engineering Sciences Special Issue on Emerging Research Areas in Computing(ERAC) www.caesjournals.org

More information

An Automatic System for Detecting the Vehicle Registration Plate from Video in Foggy and Rainy Environments using Restoration Technique

An Automatic System for Detecting the Vehicle Registration Plate from Video in Foggy and Rainy Environments using Restoration Technique An Automatic System for Detecting the Vehicle Registration Plate from Video in Foggy and Rainy Environments using Restoration Technique Savneet Kaur M.tech (CSE) GNDEC LUDHIANA Kamaljit Kaur Dhillon Assistant

More information

Speed Enforcement Systems Based on Vision and Radar Fusion: An Implementation and Evaluation 1

Speed Enforcement Systems Based on Vision and Radar Fusion: An Implementation and Evaluation 1 Speed Enforcement Systems Based on Vision and Radar Fusion: An Implementation and Evaluation 1 Seungki Ryu *, 2 Youngtae Jo, 3 Yeohwan Yoon, 4 Sangman Lee, 5 Gwanho Choi 1 Research Fellow, Korea Institute

More information

A Comparison of Histogram and Template Matching for Face Verification

A Comparison of Histogram and Template Matching for Face Verification A Comparison of and Template Matching for Face Verification Chidambaram Chidambaram Universidade do Estado de Santa Catarina chidambaram@udesc.br Marlon Subtil Marçal, Leyza Baldo Dorini, Hugo Vieira Neto

More information

Real-time Simulation of Arbitrary Visual Fields

Real-time Simulation of Arbitrary Visual Fields Real-time Simulation of Arbitrary Visual Fields Wilson S. Geisler University of Texas at Austin geisler@psy.utexas.edu Jeffrey S. Perry University of Texas at Austin perry@psy.utexas.edu Abstract This

More information

C. Efficient Removal Of Impulse Noise In [7], a method used to remove the impulse noise (ERIN) is based on simple fuzzy impulse detection technique.

C. Efficient Removal Of Impulse Noise In [7], a method used to remove the impulse noise (ERIN) is based on simple fuzzy impulse detection technique. Removal of Impulse Noise In Image Using Simple Edge Preserving Denoising Technique Omika. B 1, Arivuselvam. B 2, Sudha. S 3 1-3 Department of ECE, Easwari Engineering College Abstract Images are most often

More information

Sensory Fusion for Image

Sensory Fusion for Image , pp.34-38 http://dx.doi.org/10.14257/astl.2014.45.07 Sensory Fusion for Image Sungjun Park, Wansik Yun, and Gwanggil Jeon 1 Department of Embedded Systems Engineering, Incheon National University, 119

More information

Distributed Vision System: A Perceptual Information Infrastructure for Robot Navigation

Distributed Vision System: A Perceptual Information Infrastructure for Robot Navigation Distributed Vision System: A Perceptual Information Infrastructure for Robot Navigation Hiroshi Ishiguro Department of Information Science, Kyoto University Sakyo-ku, Kyoto 606-01, Japan E-mail: ishiguro@kuis.kyoto-u.ac.jp

More information

Particle Swarm Optimization-Based Consensus Achievement of a Decentralized Sensor Network

Particle Swarm Optimization-Based Consensus Achievement of a Decentralized Sensor Network , pp.162-166 http://dx.doi.org/10.14257/astl.2013.42.38 Particle Swarm Optimization-Based Consensus Achievement of a Decentralized Sensor Network Hyunseok Kim 1, Jinsul Kim 2 and Seongju Chang 1*, 1 Department

More information

Research of an Algorithm on Face Detection

Research of an Algorithm on Face Detection , pp.217-222 http://dx.doi.org/10.14257/astl.2016.141.47 Research of an Algorithm on Face Detection Gong Liheng, Yang Jingjing, Zhang Xiao School of Information Science and Engineering, Hebei North University,

More information

The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space

The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space , pp.62-67 http://dx.doi.org/10.14257/astl.2015.86.13 The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space Bokyoung Park, HyeonGyu Min, Green Bang and Ilju Ko Department

More information

Image Processing Based Vehicle Detection And Tracking System

Image Processing Based Vehicle Detection And Tracking System Image Processing Based Vehicle Detection And Tracking System Poonam A. Kandalkar 1, Gajanan P. Dhok 2 ME, Scholar, Electronics and Telecommunication Engineering, Sipna College of Engineering and Technology,

More information

Toward an Augmented Reality System for Violin Learning Support

Toward an Augmented Reality System for Violin Learning Support Toward an Augmented Reality System for Violin Learning Support Hiroyuki Shiino, François de Sorbier, and Hideo Saito Graduate School of Science and Technology, Keio University, Yokohama, Japan {shiino,fdesorbi,saito}@hvrl.ics.keio.ac.jp

More information

Improved Accuracy of Spot Search on HPV DNA Microarray Chip

Improved Accuracy of Spot Search on HPV DNA Microarray Chip , pp.182-186 http://dx.doi.org/10.14257/astl.2017.143.38 Improved Accuracy of Spot Search on HPV DNA Microarray Chip Jae-Hong Min 1, Chan-Young Park 2,3, Yu-Seop Kim,2,3, Hye-Jeong Song 3, Jong-Dae Kim

More information

Face Detection System on Ada boost Algorithm Using Haar Classifiers

Face Detection System on Ada boost Algorithm Using Haar Classifiers Vol.2, Issue.6, Nov-Dec. 2012 pp-3996-4000 ISSN: 2249-6645 Face Detection System on Ada boost Algorithm Using Haar Classifiers M. Gopi Krishna, A. Srinivasulu, Prof (Dr.) T.K.Basak 1, 2 Department of Electronics

More information

Dynamic Visual Performance of LED with Different Color Temperature

Dynamic Visual Performance of LED with Different Color Temperature Vol.9, No.6 (2016), pp.437-446 http://dx.doi.org/10.14257/ijsip.2016.9.6.38 Dynamic Visual Performance of LED with Different Color Temperature Zhao Jiandong * and Ma Shuo * School of Mechanical and Electronic

More information

Artificial Beacons with RGB-D Environment Mapping for Indoor Mobile Robot Localization

Artificial Beacons with RGB-D Environment Mapping for Indoor Mobile Robot Localization Sensors and Materials, Vol. 28, No. 6 (2016) 695 705 MYU Tokyo 695 S & M 1227 Artificial Beacons with RGB-D Environment Mapping for Indoor Mobile Robot Localization Chun-Chi Lai and Kuo-Lan Su * Department

More information

Survey on Impulse Noise Suppression Techniques for Digital Images

Survey on Impulse Noise Suppression Techniques for Digital Images Survey on Impulse Noise Suppression Techniques for Digital Images 1PG Student, Department of Electronics and Communication Engineering, Punjabi University, Patiala, India 2Assistant Professor, Department

More information

An Efficient Noise Removing Technique Using Mdbut Filter in Images

An Efficient Noise Removing Technique Using Mdbut Filter in Images IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 3, Ver. II (May - Jun.2015), PP 49-56 www.iosrjournals.org An Efficient Noise

More information

Removal of Salt and Pepper Noise from Satellite Images

Removal of Salt and Pepper Noise from Satellite Images Removal of Salt and Pepper Noise from Satellite Images Mr. Yogesh V. Kolhe 1 Research Scholar, Samrat Ashok Technological Institute Vidisha (INDIA) Dr. Yogendra Kumar Jain 2 Guide & Asso.Professor, Samrat

More information

Anti-shaking Algorithm for the Mobile Phone Camera in Dim Light Conditions

Anti-shaking Algorithm for the Mobile Phone Camera in Dim Light Conditions Anti-shaking Algorithm for the Mobile Phone Camera in Dim Light Conditions Jong-Ho Lee, In-Yong Shin, Hyun-Goo Lee 2, Tae-Yoon Kim 2, and Yo-Sung Ho Gwangju Institute of Science and Technology (GIST) 26

More information

Real-Time Face Detection and Tracking for High Resolution Smart Camera System

Real-Time Face Detection and Tracking for High Resolution Smart Camera System Digital Image Computing Techniques and Applications Real-Time Face Detection and Tracking for High Resolution Smart Camera System Y. M. Mustafah a,b, T. Shan a, A. W. Azman a,b, A. Bigdeli a, B. C. Lovell

More information

Simple Impulse Noise Cancellation Based on Fuzzy Logic

Simple Impulse Noise Cancellation Based on Fuzzy Logic Simple Impulse Noise Cancellation Based on Fuzzy Logic Chung-Bin Wu, Bin-Da Liu, and Jar-Ferr Yang wcb@spic.ee.ncku.edu.tw, bdliu@cad.ee.ncku.edu.tw, fyang@ee.ncku.edu.tw Department of Electrical Engineering

More information

Impulse Noise Removal and Detail-Preservation in Images and Videos Using Improved Non-Linear Filters 1

Impulse Noise Removal and Detail-Preservation in Images and Videos Using Improved Non-Linear Filters 1 Impulse Noise Removal and Detail-Preservation in Images and Videos Using Improved Non-Linear Filters 1 Reji Thankachan, 2 Varsha PS Abstract: Though many ramification of Linear Signal Processing are studied

More information

ABSTRACT 1. INTRODUCTION

ABSTRACT 1. INTRODUCTION Preprint Proc. SPIE Vol. 5076-10, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIV, Apr. 2003 1! " " #$ %& ' & ( # ") Klamer Schutte, Dirk-Jan de Lange, and Sebastian P. van den Broek

More information

Vehicle Speed Estimation Based On The Image

Vehicle Speed Estimation Based On The Image SETIT 007 4 th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications March 5-9, 007 TUNISIA Vehicle Speed Estimation Based On The Image Gholam ali rezai rad*,

More information

Image Restoration using Modified Lucy Richardson Algorithm in the Presence of Gaussian and Motion Blur

Image Restoration using Modified Lucy Richardson Algorithm in the Presence of Gaussian and Motion Blur Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 3, Number 8 (2013), pp. 1063-1070 Research India Publications http://www.ripublication.com/aeee.htm Image Restoration using Modified

More information

Guided Filtering Using Reflected IR Image for Improving Quality of Depth Image

Guided Filtering Using Reflected IR Image for Improving Quality of Depth Image Guided Filtering Using Reflected IR Image for Improving Quality of Depth Image Takahiro Hasegawa, Ryoji Tomizawa, Yuji Yamauchi, Takayoshi Yamashita and Hironobu Fujiyoshi Chubu University, 1200, Matsumoto-cho,

More information

A Spatial Mean and Median Filter For Noise Removal in Digital Images

A Spatial Mean and Median Filter For Noise Removal in Digital Images A Spatial Mean and Median Filter For Noise Removal in Digital Images N.Rajesh Kumar 1, J.Uday Kumar 2 Associate Professor, Dept. of ECE, Jaya Prakash Narayan College of Engineering, Mahabubnagar, Telangana,

More information

Anti-Collision RFID System Based on Combination of TD and Gold Code Techniques

Anti-Collision RFID System Based on Combination of TD and Gold Code Techniques , pp.78-83 http://dx.doi.org/10.14257/astl.2015.95.15 Anti-Collision RFID System Based on Combination of TD and Gold Code Techniques Grishma Khadka 1, Tae-yun Kim 2, Suk-seung Hwang 3 1 Dept. of Advanced

More information

International Journal of Advance Engineering and Research Development CONTRAST ENHANCEMENT OF IMAGES USING IMAGE FUSION BASED ON LAPLACIAN PYRAMID

International Journal of Advance Engineering and Research Development CONTRAST ENHANCEMENT OF IMAGES USING IMAGE FUSION BASED ON LAPLACIAN PYRAMID Scientific Journal of Impact Factor(SJIF): 3.134 e-issn(o): 2348-4470 p-issn(p): 2348-6406 International Journal of Advance Engineering and Research Development Volume 2,Issue 7, July -2015 CONTRAST ENHANCEMENT

More information

A Recognition of License Plate Images from Fast Moving Vehicles Using Blur Kernel Estimation

A Recognition of License Plate Images from Fast Moving Vehicles Using Blur Kernel Estimation A Recognition of License Plate Images from Fast Moving Vehicles Using Blur Kernel Estimation Kalaivani.R 1, Poovendran.R 2 P.G. Student, Dept. of ECE, Adhiyamaan College of Engineering, Hosur, Tamil Nadu,

More information

Design of Intelligent Blind Control System to Save Lighting Energy and Prevent Glare

Design of Intelligent Blind Control System to Save Lighting Energy and Prevent Glare , pp.541-545 http://dx.doi.org/10.14257/astl.2015.1 Design of Intelligent Blind Control System to Save Lighting Energy and Prevent Glare Mi-Ae Yu 1, Hyeong-Seok Kim 1, Yang-Soo Kim 1, Won-Il Seo 1, Young-Ho

More information

Intelligent Traffic Sign Detector: Adaptive Learning Based on Online Gathering of Training Samples

Intelligent Traffic Sign Detector: Adaptive Learning Based on Online Gathering of Training Samples 2011 IEEE Intelligent Vehicles Symposium (IV) Baden-Baden, Germany, June 5-9, 2011 Intelligent Traffic Sign Detector: Adaptive Learning Based on Online Gathering of Training Samples Daisuke Deguchi, Mitsunori

More information

Combined Approach for Face Detection, Eye Region Detection and Eye State Analysis- Extended Paper

Combined Approach for Face Detection, Eye Region Detection and Eye State Analysis- Extended Paper International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 10, Issue 9 (September 2014), PP.57-68 Combined Approach for Face Detection, Eye

More information

Image Enhancement Using Frame Extraction Through Time

Image Enhancement Using Frame Extraction Through Time Image Enhancement Using Frame Extraction Through Time Elliott Coleshill University of Guelph CIS Guelph, Ont, Canada ecoleshill@cogeco.ca Dr. Alex Ferworn Ryerson University NCART Toronto, Ont, Canada

More information

Convolutional Neural Network-Based Infrared Image Super Resolution Under Low Light Environment

Convolutional Neural Network-Based Infrared Image Super Resolution Under Low Light Environment Convolutional Neural Network-Based Infrared Super Resolution Under Low Light Environment Tae Young Han, Yong Jun Kim, Byung Cheol Song Department of Electronic Engineering Inha University Incheon, Republic

More information

A software video stabilization system for automotive oriented applications

A software video stabilization system for automotive oriented applications A software video stabilization system for automotive oriented applications A. Broggi, P. Grisleri Dipartimento di Ingegneria dellinformazione Universita degli studi di Parma 43100 Parma, Italy Email: {broggi,

More information

The Autonomous Performance Improvement of Mobile Robot using Type-2 Fuzzy Self-Tuning PID Controller

The Autonomous Performance Improvement of Mobile Robot using Type-2 Fuzzy Self-Tuning PID Controller , pp.182-187 http://dx.doi.org/10.14257/astl.2016.138.37 The Autonomous Performance Improvement of Mobile Robot using Type-2 Fuzzy Self-Tuning PID Controller Sang Hyuk Park 1, Ki Woo Kim 1, Won Hyuk Choi

More information

A Modified Non Linear Median Filter for the Removal of Medium Density Random Valued Impulse Noise

A Modified Non Linear Median Filter for the Removal of Medium Density Random Valued Impulse Noise www.ijemr.net ISSN (ONLINE): 50-0758, ISSN (PRINT): 34-66 Volume-6, Issue-3, May-June 016 International Journal of Engineering and Management Research Page Number: 607-61 A Modified Non Linear Median Filter

More information

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET)

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 6367(Print) ISSN 0976 6375(Online)

More information

International Journal of Innovative Research in Engineering Science and Technology APRIL 2018 ISSN X

International Journal of Innovative Research in Engineering Science and Technology APRIL 2018 ISSN X HIGH DYNAMIC RANGE OF MULTISPECTRAL ACQUISITION USING SPATIAL IMAGES 1 M.Kavitha, M.Tech., 2 N.Kannan, M.E., and 3 S.Dharanya, M.E., 1 Assistant Professor/ CSE, Dhirajlal Gandhi College of Technology,

More information

A Study of Optimal Spatial Partition Size and Field of View in Massively Multiplayer Online Game Server

A Study of Optimal Spatial Partition Size and Field of View in Massively Multiplayer Online Game Server A Study of Optimal Spatial Partition Size and Field of View in Massively Multiplayer Online Game Server Youngsik Kim * * Department of Game and Multimedia Engineering, Korea Polytechnic University, Republic

More information

Face Detection: A Literature Review

Face Detection: A Literature Review Face Detection: A Literature Review Dr.Vipulsangram.K.Kadam 1, Deepali G. Ganakwar 2 Professor, Department of Electronics Engineering, P.E.S. College of Engineering, Nagsenvana Aurangabad, Maharashtra,

More information

Responsive Communication Jamming Detector with Noise Power Fluctuation using Cognitive Radio

Responsive Communication Jamming Detector with Noise Power Fluctuation using Cognitive Radio Responsive Communication Jamming Detector with Noise Power Fluctuation using Cognitive Radio Mohsen M. Tanatwy Associate Professor, Dept. of Network., National Telecommunication Institute, Cairo, Egypt

More information

A Measurement-Based Path Loss Model for Mobile-to- Mobile Link Reliability Estimation

A Measurement-Based Path Loss Model for Mobile-to- Mobile Link Reliability Estimation , pp.21-26 http://dx.doi.org/10.14257/astl.2016.123.05 A Measurement-Based Path Loss Model for Mobile-to- Mobile Link Reliability Estimation Fuquan Zhang 1*, Inwhee Joe 2,Demin Gao 1 and Yunfei Liu 1 1

More information

A Review over Different Blur Detection Techniques in Image Processing

A Review over Different Blur Detection Techniques in Image Processing A Review over Different Blur Detection Techniques in Image Processing 1 Anupama Sharma, 2 Devarshi Shukla 1 E.C.E student, 2 H.O.D, Department of electronics communication engineering, LR College of engineering

More information

Automated License Plate Recognition for Toll Booth Application

Automated License Plate Recognition for Toll Booth Application RESEARCH ARTICLE OPEN ACCESS Automated License Plate Recognition for Toll Booth Application Ketan S. Shevale (Department of Electronics and Telecommunication, SAOE, Pune University, Pune) ABSTRACT This

More information

Interpolation of CFA Color Images with Hybrid Image Denoising

Interpolation of CFA Color Images with Hybrid Image Denoising 2014 Sixth International Conference on Computational Intelligence and Communication Networks Interpolation of CFA Color Images with Hybrid Image Denoising Sasikala S Computer Science and Engineering, Vasireddy

More information

A Mathematical model for the determination of distance of an object in a 2D image

A Mathematical model for the determination of distance of an object in a 2D image A Mathematical model for the determination of distance of an object in a 2D image Deepu R 1, Murali S 2,Vikram Raju 3 Maharaja Institute of Technology Mysore, Karnataka, India rdeepusingh@mitmysore.in

More information

Five-Input Majority Gate Based QCA Decoder

Five-Input Majority Gate Based QCA Decoder , pp.95-99 http://dx.doi.org/10.14257/astl.2016.122.18 Five-Input Majority Gate Based QCA Decoder Jun-Cheol Jeon Department of Computer Engineering at Kumoh National Institute of Technology, Gumi, Korea

More information

A Noise Adaptive Approach to Impulse Noise Detection and Reduction

A Noise Adaptive Approach to Impulse Noise Detection and Reduction A Noise Adaptive Approach to Impulse Noise Detection and Reduction Isma Irum, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, and Faisal Azam COMSATS Institute of Information Technology, Wah Pakistan

More information

Blind Single-Image Super Resolution Reconstruction with Defocus Blur

Blind Single-Image Super Resolution Reconstruction with Defocus Blur Sensors & Transducers 2014 by IFSA Publishing, S. L. http://www.sensorsportal.com Blind Single-Image Super Resolution Reconstruction with Defocus Blur Fengqing Qin, Lihong Zhu, Lilan Cao, Wanan Yang Institute

More information

Simulation of Anti-Jamming Technology in Frequency-Hopping Communication System

Simulation of Anti-Jamming Technology in Frequency-Hopping Communication System , pp.249-254 http://dx.doi.org/0.4257/astl.206. Simulation of Anti-Jamming Technology in Frequency-Hopping Communication System Bing Zhao, Lei Xin, Xiaojie Xu and Qun Ding Electronic Engineering, Heilongjiang

More information

Recognizing Words in Scenes with a Head-Mounted Eye-Tracker

Recognizing Words in Scenes with a Head-Mounted Eye-Tracker Recognizing Words in Scenes with a Head-Mounted Eye-Tracker Takuya Kobayashi, Takumi Toyama, Faisal Shafait, Masakazu Iwamura, Koichi Kise and Andreas Dengel Graduate School of Engineering Osaka Prefecture

More information

Smart Parking Information System Exploiting Visible Light Communication

Smart Parking Information System Exploiting Visible Light Communication , pp.251-260 http://dx.doi.org/10.14257/ijsh.2014.8.1.26 Smart Parking Information System Exploiting Visible Light Communication Nammoon Kim, Changqiang Jing, Biao Zhou and Youngok Kim Department of Electronics

More information

VLSI Implementation of Impulse Noise Suppression in Images

VLSI Implementation of Impulse Noise Suppression in Images VLSI Implementation of Impulse Noise Suppression in Images T. Satyanarayana 1, A. Ravi Chandra 2 1 PG Student, VRS & YRN College of Engg. & Tech.(affiliated to JNTUK), Chirala 2 Assistant Professor, Department

More information

Vehicle License Plate Recognition System Using LoG Operator for Edge Detection and Radon Transform for Slant Correction

Vehicle License Plate Recognition System Using LoG Operator for Edge Detection and Radon Transform for Slant Correction Vehicle License Plate Recognition System Using LoG Operator for Edge Detection and Radon Transform for Slant Correction Jaya Gupta, Prof. Supriya Agrawal Computer Engineering Department, SVKM s NMIMS University

More information

FOCAL LENGTH CHANGE COMPENSATION FOR MONOCULAR SLAM

FOCAL LENGTH CHANGE COMPENSATION FOR MONOCULAR SLAM FOCAL LENGTH CHANGE COMPENSATION FOR MONOCULAR SLAM Takafumi Taketomi Nara Institute of Science and Technology, Japan Janne Heikkilä University of Oulu, Finland ABSTRACT In this paper, we propose a method

More information

Gesture Recognition with Real World Environment using Kinect: A Review

Gesture Recognition with Real World Environment using Kinect: A Review Gesture Recognition with Real World Environment using Kinect: A Review Prakash S. Sawai 1, Prof. V. K. Shandilya 2 P.G. Student, Department of Computer Science & Engineering, Sipna COET, Amravati, Maharashtra,

More information

Matlab Based Vehicle Number Plate Recognition

Matlab Based Vehicle Number Plate Recognition International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 9 (2017), pp. 2283-2288 Research India Publications http://www.ripublication.com Matlab Based Vehicle Number

More information

Recognition Of Vehicle Number Plate Using MATLAB

Recognition Of Vehicle Number Plate Using MATLAB Recognition Of Vehicle Number Plate Using MATLAB Mr. Ami Kumar Parida 1, SH Mayuri 2,Pallabi Nayk 3,Nidhi Bharti 4 1Asst. Professor, Gandhi Institute Of Engineering and Technology, Gunupur 234Under Graduate,

More information

Study guide for Graduate Computer Vision

Study guide for Graduate Computer Vision Study guide for Graduate Computer Vision Erik G. Learned-Miller Department of Computer Science University of Massachusetts, Amherst Amherst, MA 01003 November 23, 2011 Abstract 1 1. Know Bayes rule. What

More information

Removal of Gaussian noise on the image edges using the Prewitt operator and threshold function technical

Removal of Gaussian noise on the image edges using the Prewitt operator and threshold function technical IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 15, Issue 2 (Nov. - Dec. 2013), PP 81-85 Removal of Gaussian noise on the image edges using the Prewitt operator

More information

Near Infrared Face Image Quality Assessment System of Video Sequences

Near Infrared Face Image Quality Assessment System of Video Sequences 2011 Sixth International Conference on Image and Graphics Near Infrared Face Image Quality Assessment System of Video Sequences Jianfeng Long College of Electrical and Information Engineering Hunan University

More information

High-speed Noise Cancellation with Microphone Array

High-speed Noise Cancellation with Microphone Array Noise Cancellation a Posteriori Probability, Maximum Criteria Independent Component Analysis High-speed Noise Cancellation with Microphone Array We propose the use of a microphone array based on independent

More information

Study on OFDM Symbol Timing Synchronization Algorithm

Study on OFDM Symbol Timing Synchronization Algorithm Vol.7, No. (4), pp.43-5 http://dx.doi.org/.457/ijfgcn.4.7..4 Study on OFDM Symbol Timing Synchronization Algorithm Jing Dai and Yanmei Wang* College of Information Science and Engineering, Shenyang Ligong

More information

Electronic Travel Aid Based on. Consumer Depth Devices to Avoid Moving Objects

Electronic Travel Aid Based on. Consumer Depth Devices to Avoid Moving Objects Contemporary Engineering Sciences, Vol. 9, 2016, no. 17, 835-841 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ces.2016.6692 Electronic Travel Aid Based on Consumer Depth Devices to Avoid Moving

More information

Vision Review: Image Processing. Course web page:

Vision Review: Image Processing. Course web page: Vision Review: Image Processing Course web page: www.cis.udel.edu/~cer/arv September 7, Announcements Homework and paper presentation guidelines are up on web page Readings for next Tuesday: Chapters 6,.,

More information

Midterm Examination CS 534: Computational Photography

Midterm Examination CS 534: Computational Photography Midterm Examination CS 534: Computational Photography November 3, 2015 NAME: SOLUTIONS Problem Score Max Score 1 8 2 8 3 9 4 4 5 3 6 4 7 6 8 13 9 7 10 4 11 7 12 10 13 9 14 8 Total 100 1 1. [8] What are

More information

Symbol Timing Detection for OFDM Signals with Time Varying Gain

Symbol Timing Detection for OFDM Signals with Time Varying Gain International Journal of Control and Automation, pp.4-48 http://dx.doi.org/.4257/ijca.23.6.5.35 Symbol Timing Detection for OFDM Signals with Time Varying Gain Jihye Lee and Taehyun Jeon Seoul National

More information

A Study on Image Enhancement and Resolution through fused approach of Guided Filter and high-resolution Filter

A Study on Image Enhancement and Resolution through fused approach of Guided Filter and high-resolution Filter VOLUME: 03 ISSUE: 06 JUNE-2016 WWW.IRJET.NET P-ISSN: 2395-0072 A Study on Image Enhancement and Resolution through fused approach of Guided Filter and high-resolution Filter Ashish Kumar Rathore 1, Pradeep

More information

Performance Evaluation of Edge Detection Techniques for Square Pixel and Hexagon Pixel images

Performance Evaluation of Edge Detection Techniques for Square Pixel and Hexagon Pixel images Performance Evaluation of Edge Detection Techniques for Square Pixel and Hexagon Pixel images Keshav Thakur 1, Er Pooja Gupta 2,Dr.Kuldip Pahwa 3, 1,M.Tech Final Year Student, Deptt. of ECE, MMU Ambala,

More information

Multiresolution Analysis of Connectivity

Multiresolution Analysis of Connectivity Multiresolution Analysis of Connectivity Atul Sajjanhar 1, Guojun Lu 2, Dengsheng Zhang 2, Tian Qi 3 1 School of Information Technology Deakin University 221 Burwood Highway Burwood, VIC 3125 Australia

More information

Improved sensitivity high-definition interline CCD using the KODAK TRUESENSE Color Filter Pattern

Improved sensitivity high-definition interline CCD using the KODAK TRUESENSE Color Filter Pattern Improved sensitivity high-definition interline CCD using the KODAK TRUESENSE Color Filter Pattern James DiBella*, Marco Andreghetti, Amy Enge, William Chen, Timothy Stanka, Robert Kaser (Eastman Kodak

More information

A Novel Multi-diagonal Matrix Filter for Binary Image Denoising

A Novel Multi-diagonal Matrix Filter for Binary Image Denoising Columbia International Publishing Journal of Advanced Electrical and Computer Engineering (2014) Vol. 1 No. 1 pp. 14-21 Research Article A Novel Multi-diagonal Matrix Filter for Binary Image Denoising

More information

AN EFFICIENT TRAFFIC CONTROL SYSTEM BASED ON DENSITY

AN EFFICIENT TRAFFIC CONTROL SYSTEM BASED ON DENSITY INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 AN EFFICIENT TRAFFIC CONTROL SYSTEM BASED ON DENSITY G. Anisha, Dr. S. Uma 2 1 Student, Department of Computer Science

More information

The Effects of Total Variation (TV) Technique for Noise Reduction in Radio-Magnetic X-ray Image: Quantitative Study

The Effects of Total Variation (TV) Technique for Noise Reduction in Radio-Magnetic X-ray Image: Quantitative Study Journal of agnetics 1(4), 593-598 (016) ISSN (Print) 16-1750 ISSN (Online) 33-6656 https://doi.org/10.483/jag.016.1.4.593 The Effects of Total Variation (TV) Technique for Noise Reduction in Radio-agnetic

More information

YUMI IWASHITA

YUMI IWASHITA YUMI IWASHITA yumi@ieee.org http://robotics.ait.kyushu-u.ac.jp/~yumi/index-e.html RESEARCH INTERESTS Computer vision for robotics applications, such as motion capture system using multiple cameras and

More information

Modeling and Synthesis of Aperture Effects in Cameras

Modeling and Synthesis of Aperture Effects in Cameras Modeling and Synthesis of Aperture Effects in Cameras Douglas Lanman, Ramesh Raskar, and Gabriel Taubin Computational Aesthetics 2008 20 June, 2008 1 Outline Introduction and Related Work Modeling Vignetting

More information

SKIN SEGMENTATION USING DIFFERENT INTEGRATED COLOR MODEL APPROACHES FOR FACE DETECTION

SKIN SEGMENTATION USING DIFFERENT INTEGRATED COLOR MODEL APPROACHES FOR FACE DETECTION SKIN SEGMENTATION USING DIFFERENT INTEGRATED COLOR MODEL APPROACHES FOR FACE DETECTION Mrunmayee V. Daithankar 1, Kailash J. Karande 2 1 ME Student, Electronics and Telecommunication Engineering Department,

More information

Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks

Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks , pp.70-74 http://dx.doi.org/10.14257/astl.2014.46.16 Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks Saransh Malik 1,Sangmi Moon 1, Bora Kim 1, Hun Choi 1, Jinsul Kim 1, Cheolhong

More information

Background Pixel Classification for Motion Detection in Video Image Sequences

Background Pixel Classification for Motion Detection in Video Image Sequences Background Pixel Classification for Motion Detection in Video Image Sequences P. Gil-Jiménez, S. Maldonado-Bascón, R. Gil-Pita, and H. Gómez-Moreno Dpto. de Teoría de la señal y Comunicaciones. Universidad

More information

FACE RECOGNITION USING NEURAL NETWORKS

FACE RECOGNITION USING NEURAL NETWORKS Int. J. Elec&Electr.Eng&Telecoms. 2014 Vinoda Yaragatti and Bhaskar B, 2014 Research Paper ISSN 2319 2518 www.ijeetc.com Vol. 3, No. 3, July 2014 2014 IJEETC. All Rights Reserved FACE RECOGNITION USING

More information

Analysis of Satellite Image Filter for RISAT: A Review

Analysis of Satellite Image Filter for RISAT: A Review , pp.111-116 http://dx.doi.org/10.14257/ijgdc.2015.8.5.10 Analysis of Satellite Image Filter for RISAT: A Review Renu Gupta, Abhishek Tiwari and Pallavi Khatri Department of Computer Science & Engineering

More information

Eulerian Video Magnification Baby Monitor. Nik Cimino

Eulerian Video Magnification Baby Monitor. Nik Cimino Eulerian Video Magnification Baby Monitor Nik Cimino Eulerian Video Magnification Wu, Hao-Yu, et al. "Eulerian video magnification for revealing subtle changes in the world." ACM Trans. Graph. 31.4 (2012):

More information

Vision-based User-interfaces for Pervasive Computing. CHI 2003 Tutorial Notes. Trevor Darrell Vision Interface Group MIT AI Lab

Vision-based User-interfaces for Pervasive Computing. CHI 2003 Tutorial Notes. Trevor Darrell Vision Interface Group MIT AI Lab Vision-based User-interfaces for Pervasive Computing Tutorial Notes Vision Interface Group MIT AI Lab Table of contents Biographical sketch..ii Agenda..iii Objectives.. iv Abstract..v Introduction....1

More information

Driver Assistance for "Keeping Hands on the Wheel and Eyes on the Road"

Driver Assistance for Keeping Hands on the Wheel and Eyes on the Road ICVES 2009 Driver Assistance for "Keeping Hands on the Wheel and Eyes on the Road" Cuong Tran and Mohan Manubhai Trivedi Laboratory for Intelligent and Safe Automobiles (LISA) University of California

More information