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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pei-Chi Hsiao Chu-Song Chen Long-Wen Chang |
| Copyright Year | 2008 |
| Description | Author affiliation: Institue of Inf. Syst. & Applic., Nat. Tsing Hua Univ., Hsinchu (Long-Wen Chang) || Institue of Inf. Sci., Acad. Sinica, Taipei (Pei-Chi Hsiao; Chu-Song Chen) |
| Abstract | In this paper, we present a temporal-state shape context (TSSC) method that exploits space-time shape variations for human action recognition. In our method, the silhouettes of objects in a video clip are organized into three temporal states. These states are defined by fuzzy time intervals, which can lessen the degradation of recognition performance caused by time warping effects. The TSSC features capture local characteristics of the space-time shape induced by consecutive changes of silhouettes. Experimental results show that our method is effective for human action recognition, and is reliable when there are various kinds of deformations. Moreover, our method can identify spatially inconsistent parts between two shapes of the actions, which could be useful in action analysis applications. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 558292 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421749 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2008.4761419 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Shape Video sequences Degradation Application software Image motion analysis Feature extraction Information science Information systems Computer vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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