An Improved Camshift Algorithm Based on Dynamic Background
Yingying Yue, Yun Gao, Xuejie Zhang · 2009
In this paper, an improved Camshift algorithm based on dynamic background is presented, detecting motion objects with Twice-Frame-Difference Method (TFDM) and tracking objects with Multi-Features-Fusion Method (MFFM). By the comparing experiments, the presented improved algorithm can acquire the better detecting effects and improve the robustness and accuracy of tracking.