Name
Abstract | ||
|---|---|---|
Human tracking is a popular research topic in computer vision. However, occlusion problem often complicates the tracking process. This paper presents the so-called multiview-based cooperative tracking of multiple human objects based on the homographic relation between different views. This cooperative tracking applies two hidden Markov processes (tracking and occlusion processes) for each target in each view. The tracking process locates the moving target in each view, whereas the occlusion process represents the possible visibility of the specific target in that designated view. Based on the occlusion process, the cooperative tracking process may reallocate tracking resources for different trackers in different views. Experimental results show the efficiency of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1155/2008/253039 | EURASIP J. Image and Video Processing |
Keywords | Field | DocType |
specific target,so-called multiview-based cooperative tracking,different view,human tracking,occlusion process,tracking process,multiview-based cooperative tracking,cooperative tracking,cooperative tracking process,different tracker,multiple human object,occlusion problem | BitTorrent tracker,Computer vision,Visibility,Markov process,Pattern recognition,Computer science,Image processing,Artificial intelligence,Biometrics,Hidden Markov model | Journal |
Volume | Issue | ISSN |
2008, | 1 | 1687-5281 |
Citations | PageRank | References |
6 | 0.47 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuo-Chin Lien | 1 | 95 | 6.46 |
| Chung-Lin Huang | 2 | 540 | 37.61 |