Tracking Algorithm Based on the Improved Template Matching

It is a basic element to judge the value of a video tracking system whether it can achieve the real-time and accurate identification of moving objects and the tracking of the system. For the defect of traditional template matching algorithm which is low efficiency and slow calculation speed, after analyzing the disadvantages of the existing target recognition algorithm, proposing a new template matching algorithm based on extracting differential information of images in this paper. Firstly, the rough matching is performed to determine the initial region of the target, then enlarge the search region and the differential information of images are set up. The results of experiment showed that compared with the traditional template matching algorithm, the algorithm proposed in this paper greatly reduces the interference of complex backgrounds to tracking targets, and it is a kind of target tracking algorithm with low false recognition rate and high robustness.