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Human action recognition in surveillance video of a computer laboratory

One of the driving forces of behavior recognition in video is the analysis of surveillance video. In this video, humans are monitored and their actions are classified as being normal or a deviation from the norm. Local spatio-temporal features have gained attention to be an effective descriptor for...

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Main Authors: Yussiff, A.-L., Suet-Peng, Y., Baharudin, B.B.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010443466&doi=10.1109%2fICCOINS.2016.7783252&partnerID=40&md5=3806cb3d698dcbd7718e01f67e57aab7
http://eprints.utp.edu.my/30466/
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spelling my.utp.eprints.304662022-03-25T06:53:56Z Human action recognition in surveillance video of a computer laboratory Yussiff, A.-L. Suet-Peng, Y. Baharudin, B.B. One of the driving forces of behavior recognition in video is the analysis of surveillance video. In this video, humans are monitored and their actions are classified as being normal or a deviation from the norm. Local spatio-temporal features have gained attention to be an effective descriptor for action recognition in video. The problem of using texture as local descriptor is relatively unexplored. In this paper, a work on human action recognition in video is presented by proposing a fusion of appearance, motion and texture as local descriptor for the bag-of-feature model. Rigorous experiments was conducted on the recorded UTP dataset using the proposed descriptor. The average accuracy obtained was 85.92 for the fused descriptor as compared to 75.06 for the combination of shape and motion descriptor. The result shows an improved performance for the proposed descriptor over the combination of appearance and motion as local descriptor of an interest point. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010443466&doi=10.1109%2fICCOINS.2016.7783252&partnerID=40&md5=3806cb3d698dcbd7718e01f67e57aab7 Yussiff, A.-L. and Suet-Peng, Y. and Baharudin, B.B. (2016) Human action recognition in surveillance video of a computer laboratory. In: UNSPECIFIED. http://eprints.utp.edu.my/30466/
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 One of the driving forces of behavior recognition in video is the analysis of surveillance video. In this video, humans are monitored and their actions are classified as being normal or a deviation from the norm. Local spatio-temporal features have gained attention to be an effective descriptor for action recognition in video. The problem of using texture as local descriptor is relatively unexplored. In this paper, a work on human action recognition in video is presented by proposing a fusion of appearance, motion and texture as local descriptor for the bag-of-feature model. Rigorous experiments was conducted on the recorded UTP dataset using the proposed descriptor. The average accuracy obtained was 85.92 for the fused descriptor as compared to 75.06 for the combination of shape and motion descriptor. The result shows an improved performance for the proposed descriptor over the combination of appearance and motion as local descriptor of an interest point. © 2016 IEEE.
format Conference or Workshop Item
author Yussiff, A.-L.
Suet-Peng, Y.
Baharudin, B.B.
spellingShingle Yussiff, A.-L.
Suet-Peng, Y.
Baharudin, B.B.
Human action recognition in surveillance video of a computer laboratory
author_facet Yussiff, A.-L.
Suet-Peng, Y.
Baharudin, B.B.
author_sort Yussiff, A.-L.
title Human action recognition in surveillance video of a computer laboratory
title_short Human action recognition in surveillance video of a computer laboratory
title_full Human action recognition in surveillance video of a computer laboratory
title_fullStr Human action recognition in surveillance video of a computer laboratory
title_full_unstemmed Human action recognition in surveillance video of a computer laboratory
title_sort human action recognition in surveillance video of a computer laboratory
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010443466&doi=10.1109%2fICCOINS.2016.7783252&partnerID=40&md5=3806cb3d698dcbd7718e01f67e57aab7
http://eprints.utp.edu.my/30466/
_version_ 1738657111539187712
score 13.211869

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