A New Template Tracking Algorithms Based on Active Drift Correction
Han Xiaowei, Zheng Lu, Yingkui Du, Yuan Gao · 2015
For the traditional problems of template drift and the low efficiency of algorithms in video image target tracking applications. A new template tracking algorithms based on active drift correction is proposed. The algorithm incorporates a drift correction term and a target tracking term. By adding a drift correction term into the traditional affine image alignment algorithms and update the template while tracking, it has solved the template drift problem and reduced the cumulative error in tracking. The results show that the new algorithm has higher operation efficiency and better robustness.