Research and Implementation of Multi-feature Tracking Algorithms

Abstract

A single feature cannot adapt to the dynamic changes of the scene during video target tracking. This paper, to address this issue, first studies the tracking algorithm of multi-feature fusion, which uses the complementarity between different features to better adapt to the scene changes. On this basis, the APCE anti-occlusion criterion is added to enable the algorithm to resist the influence of target occlusion on tracking to a certain extent. The experimental results show that the average tracking accuracy of the proposed algorithm is about 0.779, which is about 2% higher than that of the SAMF algorithm, and the tracking success rate can be as high as 72%.