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A fast approach for human action recognition

This paper presents a fast approach to represent and recognize human actions. For representation, a feature vector is constructed from spatiotemporal data of silhouettes based on appearance and motion. For classification, a new Radial Basis Function Network (RBF), called Time Delay Input Radial Basi...

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Main Authors: Kalhor, Davood, Aris, Ishak, Abdul Halin, Izhal, Moaini, Trifa
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/41158/1/A%20fast%20approach%20for%20human%20action%20recognition.pdf
http://psasir.upm.edu.my/id/eprint/41158/
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spelling my.upm.eprints.411582017-10-30T06:19:33Z http://psasir.upm.edu.my/id/eprint/41158/ A fast approach for human action recognition Kalhor, Davood Aris, Ishak Abdul Halin, Izhal Moaini, Trifa This paper presents a fast approach to represent and recognize human actions. For representation, a feature vector is constructed from spatiotemporal data of silhouettes based on appearance and motion. For classification, a new Radial Basis Function Network (RBF), called Time Delay Input Radial Basis Function Network is proposed by introducing time delay units to the RBF in a novel approach. The proposed network has a few desirable features such as easier learning process and more flexibility. The representational power and speed of the proposed method for action recognition were evaluated using a publicly available dataset. Based on experimental results, implemented in MATLAB and on standard PCs, the average time for constructing a feature vector for a high-resolution video is almost 20 ms/frame. Furthermore, the proposed approach demonstrates good performance in terms of execution time and overall performance (a new performance measure that combines accuracy and speed into one metric). IEEE 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/41158/1/A%20fast%20approach%20for%20human%20action%20recognition.pdf Kalhor, Davood and Aris, Ishak and Abdul Halin, Izhal and Moaini, Trifa (2014) A fast approach for human action recognition. In: Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014), 27-29 Jan. 2014, Langkawi, Kedah, Malaysia. (pp. 266-272). 10.1109/ISMS.2014.52
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper presents a fast approach to represent and recognize human actions. For representation, a feature vector is constructed from spatiotemporal data of silhouettes based on appearance and motion. For classification, a new Radial Basis Function Network (RBF), called Time Delay Input Radial Basis Function Network is proposed by introducing time delay units to the RBF in a novel approach. The proposed network has a few desirable features such as easier learning process and more flexibility. The representational power and speed of the proposed method for action recognition were evaluated using a publicly available dataset. Based on experimental results, implemented in MATLAB and on standard PCs, the average time for constructing a feature vector for a high-resolution video is almost 20 ms/frame. Furthermore, the proposed approach demonstrates good performance in terms of execution time and overall performance (a new performance measure that combines accuracy and speed into one metric).
format Conference or Workshop Item
author Kalhor, Davood
Aris, Ishak
Abdul Halin, Izhal
Moaini, Trifa
spellingShingle Kalhor, Davood
Aris, Ishak
Abdul Halin, Izhal
Moaini, Trifa
A fast approach for human action recognition
author_facet Kalhor, Davood
Aris, Ishak
Abdul Halin, Izhal
Moaini, Trifa
author_sort Kalhor, Davood
title A fast approach for human action recognition
title_short A fast approach for human action recognition
title_full A fast approach for human action recognition
title_fullStr A fast approach for human action recognition
title_full_unstemmed A fast approach for human action recognition
title_sort fast approach for human action recognition
publisher IEEE
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/41158/1/A%20fast%20approach%20for%20human%20action%20recognition.pdf
http://psasir.upm.edu.my/id/eprint/41158/
_version_ 1643832916954841088
score 13.211869

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