Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution
This letter presents a novel approach to extract reliable dense and long-range motion trajectories of articulated human in a video sequence. Compared with existing approaches that emphasize temporal consistency of each tracked point, we also consider the spatial structure of tracked points on the ar...
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| Published in: | IEEE signal processing letters Vol. 23; no. 4; pp. 507 - 511 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1070-9908, 1558-2361 |
| Online Access: | Get full text |
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