Anti-occlusion target tracking algorithm based on template filtering

Abstract

This paper proposes an effective anti-occlusion target tracking algorithm based on template filtering.First,The location correlation filters are constructed to determine the target center position. In order to determine the target scale, a scale correlation filter is performed to sample multi-scale images surrounding the target region. Then,Peak-to-Sidelobe Ratio and average peak-to-correlation energy (APCE) are used to determine whether the target is occluded. When the target is occluded, the adaptive updating of the model is stopped.When the target is completely lost, the grid-based motion statistics algorithm is used to re-determine the position of the target.Experimental results demonstrate that our method can achieve a better tracking result than other methods.