智能视频运动目标检测算法改进

With the development of the society and technology, the detection and tracking algorithm of video motion objects is one of hotspots in the field of computer vision. It's also the key intelligent technology of video surveillance system.Therefore, the target detection and tracking algorithm is extremely important theoretical and practical value. In this paper, an improved method is proposed that the Guassian mixture shadow model algorithm for the general issues affecting vulnerable shadows. Experiment results show that, the proposed method is more effectivet to solve the shadow problem than the normal Guassian mixture model algorithm.