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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Manjun Wang Wei Li Yan Qi Baojun Lv Zhiguo |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute of Automation, College of Mechatronics and Automation, National University of Defense Technology, Changsha, 410073, China (Wang Manjun; Wang Wei; Li Yan; Qi Baojun; Lv Zhiguo) |
| Abstract | Virtual human motion capture data has been widely applied in virtual reality, computer animation, etc. It is important to segment the motion data into small clips automatically in order to reuse these data. In this paper, a new method of motion capture data segmentation is proposed based on kernel dynamic texture. First we model the motion capture data using kernel dynamic texture, and then on the base of similarity measurement, we implement the segmentation method by which we can segment motion sequences into distinct behaviors automatically. Experimental results show that this approach provides the good performance. |
| Starting Page | 592 |
| Ending Page | 596 |
| File Size | 128225 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424458561 |
| e-ISBN | 9781424458585 |
| DOI | 10.1109/ICALIP.2010.5684392 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion segmentation Computational modeling Dynamics Humans Hidden Markov models Data models Kernel |
| Content Type | Text |
| Resource Type | Article |
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