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Performance comparison between SVM and K-Means for vehicle counting

Support vector machine (SVM) and K-means have been two well known methods used in classification. Choosing an accurate classifier for good features to differentiate between the foreground and background has a significant effect in increasing the accuracy of the detection. This paper presents and ana...

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Main Authors:	El-Khoreby, Mohamed A., Abu Bakar, Syed Abd. Rahman, Mohd. Mokji, Musa, Omar, Syaril Nizam
Format:	Conference or Workshop Item
Language:	English
Published:	2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/91237/1/SyedAbdRahman2020_PerformanceComparisonBetweenSVMandK-Means.pdf http://eprints.utm.my/id/eprint/91237/ http://dx.doi.org/10.1088/1757-899X/884/1/012077
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id	my.utm.91237
record_format	eprints
spelling	my.utm.912372021-06-30T11:59:25Z http://eprints.utm.my/id/eprint/91237/ Performance comparison between SVM and K-Means for vehicle counting El-Khoreby, Mohamed A. Abu Bakar, Syed Abd. Rahman Mohd. Mokji, Musa Omar, Syaril Nizam TK Electrical engineering. Electronics Nuclear engineering Support vector machine (SVM) and K-means have been two well known methods used in classification. Choosing an accurate classifier for good features to differentiate between the foreground and background has a significant effect in increasing the accuracy of the detection. This paper presents and analyzes performance comparison between SVM and K-means classifiers for vehicle counting targeted for intelligence transportation systems (ITS) application. In particular, precision and recall have been used for the comparison between the two methods. Five videos from different weather conditions have been used for the testing purposes. SVM shows a better performance in terms of precision and recall. 2020-07-20 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91237/1/SyedAbdRahman2020_PerformanceComparisonBetweenSVMandK-Means.pdf El-Khoreby, Mohamed A. and Abu Bakar, Syed Abd. Rahman and Mohd. Mokji, Musa and Omar, Syaril Nizam (2020) Performance comparison between SVM and K-Means for vehicle counting. In: 2019 Sustainable and Integrated Engineering International Conference, SIE 2019, 8 December 2019 - 9 December 2019, The Everly Hotel, Putrajaya, Malaysia. http://dx.doi.org/10.1088/1757-899X/884/1/012077
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering El-Khoreby, Mohamed A. Abu Bakar, Syed Abd. Rahman Mohd. Mokji, Musa Omar, Syaril Nizam Performance comparison between SVM and K-Means for vehicle counting
description	Support vector machine (SVM) and K-means have been two well known methods used in classification. Choosing an accurate classifier for good features to differentiate between the foreground and background has a significant effect in increasing the accuracy of the detection. This paper presents and analyzes performance comparison between SVM and K-means classifiers for vehicle counting targeted for intelligence transportation systems (ITS) application. In particular, precision and recall have been used for the comparison between the two methods. Five videos from different weather conditions have been used for the testing purposes. SVM shows a better performance in terms of precision and recall.
format	Conference or Workshop Item
author	El-Khoreby, Mohamed A. Abu Bakar, Syed Abd. Rahman Mohd. Mokji, Musa Omar, Syaril Nizam
author_facet	El-Khoreby, Mohamed A. Abu Bakar, Syed Abd. Rahman Mohd. Mokji, Musa Omar, Syaril Nizam
author_sort	El-Khoreby, Mohamed A.
title	Performance comparison between SVM and K-Means for vehicle counting
title_short	Performance comparison between SVM and K-Means for vehicle counting
title_full	Performance comparison between SVM and K-Means for vehicle counting
title_fullStr	Performance comparison between SVM and K-Means for vehicle counting
title_full_unstemmed	Performance comparison between SVM and K-Means for vehicle counting
title_sort	performance comparison between svm and k-means for vehicle counting
publishDate	2020
url	http://eprints.utm.my/id/eprint/91237/1/SyedAbdRahman2020_PerformanceComparisonBetweenSVMandK-Means.pdf http://eprints.utm.my/id/eprint/91237/ http://dx.doi.org/10.1088/1757-899X/884/1/012077
_version_	1705056685033259008
score	13.211869

Performance comparison between SVM and K-Means for vehicle counting

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