关键词:  CAMSHIFT 算法, 帧间差分法, 目标跟踪, 背景差分法

Abstract:  Moving target tracking in video is an important research direction in the field of computer vision. In
order to detect and track the moving objects 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 limitations of diverging, and has improved the accuracy and stability of tracking.

Key words: target tracking, background subtraction, continuously sdaptive mean-SHIFT(CAMSHIFT), frame difference method