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Image processing based vehicle detection and tracking method

Vehicle detection and tracking plays an effective and significant role in the area of traffic surveillance system where efficient traffic management and safety is the main concern. In this paper, we discuss and address the issue of detecting vehicle / traffic data from video frames. Although various...

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Main Authors: Bhaskar, P.K., Yong, S.-P.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938807090&doi=10.1109%2fICCOINS.2014.6868357&partnerID=40&md5=116855547238c922f342164b7d78e104
http://eprints.utp.edu.my/31183/
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spelling my.utp.eprints.311832022-03-25T09:02:22Z Image processing based vehicle detection and tracking method Bhaskar, P.K. Yong, S.-P. Vehicle detection and tracking plays an effective and significant role in the area of traffic surveillance system where efficient traffic management and safety is the main concern. In this paper, we discuss and address the issue of detecting vehicle / traffic data from video frames. Although various researches have been done in this area and many methods have been implemented, still this area has room for improvements. With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Gaussian mixture model and blob detection methods. First, we differentiate the foreground from background in frames by learning the background. Here, foreground detector detects the object and a binary computation is done to define rectangular regions around every detected object. To detect the moving object correctly and to remove the noise some morphological operations have been applied. Then the final counting is done by tracking the detected objects and their regions. The results are encouraging and we got more than 91 of average accuracy in detection and tracking using the Gaussian Mixture Model and Blob Detection methods. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938807090&doi=10.1109%2fICCOINS.2014.6868357&partnerID=40&md5=116855547238c922f342164b7d78e104 Bhaskar, P.K. and Yong, S.-P. (2014) Image processing based vehicle detection and tracking method. In: UNSPECIFIED. http://eprints.utp.edu.my/31183/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Vehicle detection and tracking plays an effective and significant role in the area of traffic surveillance system where efficient traffic management and safety is the main concern. In this paper, we discuss and address the issue of detecting vehicle / traffic data from video frames. Although various researches have been done in this area and many methods have been implemented, still this area has room for improvements. With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Gaussian mixture model and blob detection methods. First, we differentiate the foreground from background in frames by learning the background. Here, foreground detector detects the object and a binary computation is done to define rectangular regions around every detected object. To detect the moving object correctly and to remove the noise some morphological operations have been applied. Then the final counting is done by tracking the detected objects and their regions. The results are encouraging and we got more than 91 of average accuracy in detection and tracking using the Gaussian Mixture Model and Blob Detection methods. © 2014 IEEE.
format Conference or Workshop Item
author Bhaskar, P.K.
Yong, S.-P.
spellingShingle Bhaskar, P.K.
Yong, S.-P.
Image processing based vehicle detection and tracking method
author_facet Bhaskar, P.K.
Yong, S.-P.
author_sort Bhaskar, P.K.
title Image processing based vehicle detection and tracking method
title_short Image processing based vehicle detection and tracking method
title_full Image processing based vehicle detection and tracking method
title_fullStr Image processing based vehicle detection and tracking method
title_full_unstemmed Image processing based vehicle detection and tracking method
title_sort image processing based vehicle detection and tracking method
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938807090&doi=10.1109%2fICCOINS.2014.6868357&partnerID=40&md5=116855547238c922f342164b7d78e104
http://eprints.utp.edu.my/31183/
_version_ 1738657212052537344
score 13.211869

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