Silhouette-based multi-view human action recognition in video
In this paper, a human action recognition method is presented where pose features are represented using contour points of the human silhouette, and actions are learned by using sequences of multi-view contour points. The differences and divergences among actors performing the same action are handled...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47813/ http://psasir.upm.edu.my/id/eprint/47813/1/Silhouette-based%20multi-view%20human%20action%20recognition%20in%20video.pdf |
| _version_ | 1848850912471154688 |
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| author | Aryanfar, Ali Hossein Yaakob, Razali Abdul Halin, Alfian Sulaiman, Md. Nasir Kasmiran, Khairul Azhar |
| author_facet | Aryanfar, Ali Hossein Yaakob, Razali Abdul Halin, Alfian Sulaiman, Md. Nasir Kasmiran, Khairul Azhar |
| author_sort | Aryanfar, Ali Hossein |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, a human action recognition method is presented where pose features are represented using contour points of the human silhouette, and actions are learned by using sequences of multi-view contour points. The differences and divergences among actors performing the same action are handled by considering variations in shape and speed. Experimental results on the IXMAS dataset show promising success rates, exceeding that of existing multi-view human action recognition state-of-the-art techniques. |
| first_indexed | 2025-11-15T10:13:50Z |
| format | Conference or Workshop Item |
| id | upm-47813 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:50Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-478132016-07-15T09:16:46Z http://psasir.upm.edu.my/id/eprint/47813/ Silhouette-based multi-view human action recognition in video Aryanfar, Ali Hossein Yaakob, Razali Abdul Halin, Alfian Sulaiman, Md. Nasir Kasmiran, Khairul Azhar In this paper, a human action recognition method is presented where pose features are represented using contour points of the human silhouette, and actions are learned by using sequences of multi-view contour points. The differences and divergences among actors performing the same action are handled by considering variations in shape and speed. Experimental results on the IXMAS dataset show promising success rates, exceeding that of existing multi-view human action recognition state-of-the-art techniques. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47813/1/Silhouette-based%20multi-view%20human%20action%20recognition%20in%20video.pdf Aryanfar, Ali Hossein and Yaakob, Razali and Abdul Halin, Alfian and Sulaiman, Md. Nasir and Kasmiran, Khairul Azhar (2014) Silhouette-based multi-view human action recognition in video. In: International Conference on Computational Science and Technology (ICCST 2014), 27-28 Aug. 2014, Kota Kinabalu, Sabah. . 10.1109/ICCST.2014.7045004 |
| spellingShingle | Aryanfar, Ali Hossein Yaakob, Razali Abdul Halin, Alfian Sulaiman, Md. Nasir Kasmiran, Khairul Azhar Silhouette-based multi-view human action recognition in video |
| title | Silhouette-based multi-view human action recognition in video |
| title_full | Silhouette-based multi-view human action recognition in video |
| title_fullStr | Silhouette-based multi-view human action recognition in video |
| title_full_unstemmed | Silhouette-based multi-view human action recognition in video |
| title_short | Silhouette-based multi-view human action recognition in video |
| title_sort | silhouette-based multi-view human action recognition in video |
| url | http://psasir.upm.edu.my/id/eprint/47813/ http://psasir.upm.edu.my/id/eprint/47813/ http://psasir.upm.edu.my/id/eprint/47813/1/Silhouette-based%20multi-view%20human%20action%20recognition%20in%20video.pdf |