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5 May 2011 Target tracking based on video sequences
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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.
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Yahui Liu, Qingxuan Jia, Hanxu Sun, and Changsheng Zhou "Target tracking based on video sequences", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501Z (5 May 2011); https://doi.org/10.1117/12.883670
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