Object Tracking with an Adaptive Color-Based Particle Filter
Proceedings of the 24th DAGM Symposium on Pattern Recognition
An Improved Camshift Algorithm Based on Dynamic Background
ICISE '09 Proceedings of the 2009 First IEEE International Conference on Information Science and Engineering
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In this paper, an improved tracking algorithm in crowded scenes and dynamic background is presented, detecting motion objects with an improved TFDM [1] based on adaptive background registration automatically, and tracking objects with a joint method of Motion Trajectory and MFTM [1]. The experimental results show that the better effects of detecting and tracking can be acquired than [1] in crowded scenes and dynamic background.