Proceedings Paper
Target tracking based on video sequences| Format | Member Price | Non-Member Price |
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Paper Abstract
An association algorithm between targets and trajectories is put forward in multi-target tracking. Target tracking is based
on multi-feature camshift and particle filter in each camera. An optimal search is carried out near dynamic transfer center
by camshift, which is helpful to let each particle reach a stable position. Then a new sequence with high weights is
obtained by resampling after it is to enhance high weight particles. Initial and end points of target trajectories are judged
by FOV (field of view) boundaries. Finally, FCM algorithm is used to do data association between measurement points
and tracks. Experimental results indicate that the algorithm is robust to occlusion.
Paper Details
Date Published: 5 May 2011
PDF: 6 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501Z (5 May 2011); doi: 10.1117/12.883670
Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)
PDF: 6 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501Z (5 May 2011); doi: 10.1117/12.883670
Show Author Affiliations
Yahui Liu, Beijing Univ. of Posts and Telecommunications (China)
Beijing Information Science and Technology Univ. (China)
Qingxuan Jia, Beijing Univ. of Posts and Telecommunications (China)
Beijing Information Science and Technology Univ. (China)
Qingxuan Jia, Beijing Univ. of Posts and Telecommunications (China)
Hanxu Sun, Beijing Univ. of Posts and Telecommunications (China)
Changsheng Zhou, Beijing Information Science and Technology Univ. (China)
Changsheng Zhou, Beijing Information Science and Technology Univ. (China)
Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)
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