基于帧间差分和运动估计的Camshift目标跟踪算法

针对Camshift算法无法适应目标的高速运动、复杂背景和遮挡的局限性,本文提出结合帧间差分法和运动估计对Camshift算法进行改进.首先在颜色概率分布图计算中通过帧间差分法加入目标运动信息,实现自动初始化跟踪并排除与目标相似背景颜色的干扰.之后在搜索窗传递过程中预测目标的位置,根据跟踪状态对搜索窗进行调整,以实现对高速运动目标的跟踪.实验表明新算法在目标高速运动、遮挡、和同色干扰情况下,仍能进行有效跟踪.

Camshift Object Tracking Algorithm Based on Inter-frame Difference and Motion Prediction

To enhance Camshifl algorithm on the adaptability of high-speed object, complex background and covering, an improved algorithm combining inter-frame difference and motion prediction is proposed. First, before calculating hack-projection image, the color information is associated with the motion information gained from inter-frame difference to eliminate color noise and automatically initialize tracking. Second, in order to make the algorithm applicable with high-speed object, position of target is predicted and searching window is updated according to tracking state. Experimental results prove that the improved algorithm is robust to high-speed target, covering and color noises.