Moving Object Detection and Tracking Based on WADM
Zuo Feng-yan, Sheng-fa Gao · 2009
In order to solve the problem of slowly moving object detection and tracking, this paper proposes a new weighted accumulative difference method and works out a weights setting algorithm to fast detect the slowly moving object. We obtain the interest points from the moving area detected, then fix the matching range with the maximum velocity principle and work out a non-retrospective mismatch detection algorithm with the consistency principle. These methods upwards can enhance the efficiency and precision of our tracking system.