基于视频的运动目标跟踪算法

为更加准确、 快速地检测与跟踪到运动目标, 将背景差分法和帧间差分法相融合对 CAMSHIFT (Continuously Adaptive Mean-SHIFT)算法进行改进。 首先, 通过背景差分法和帧间差分法相融合确定目标所在 区域, 然后结合 CAMSHIFT 迭代算法实现目标跟踪。 实验结果表明, 该方法改变了传统 CAMSHIFT 算法需手 动选定目标和跟踪窗容易发散的局限性, 并提高了跟踪的准确性与稳定性。

Algorithm of Moving Object Tracking Based on Video Images Sequence

Moving target tracking in video is an important research directi on in the field of computer vision.In order to detect and track the moving obje cts more accurately and quickly, we propose an improved CAMSHIFT (Continuously Adaptive Mean-SHIFT)algorithm based on background subtraction and frame difference algorithm.First of all, the target area is determined by the background difference method and the frame difference method, then combining with the CAMSHIFT iterative algorithm the target tracking is realized.Experiments show that this method has changed the traditional CAMSHIFT algorithm which needs manually selecting the target, has overcome the limit ations of diverging, and has improved the accuracy and stability of tracki ng.