关键词: 视觉跟踪, 相关滤波器, 加权全局上下文感知

Abstract: The related filtering algorithm based on the Context-Aware（CA） framework is a visual tracking algorithm, that is newly proposed. The disadvantages are that the context information is treated equally when dealing with fast motion, motion blur, occlusion and proportion change, and leads to reduce the robustness of visual tracking. For the above problems, this paper proposes a related filtering visual tracking algorithm based on the Weighted Global Context-Aware（WGCA） framework. Firstly, the original optimization problem is reconstructed. Secondly, according to the context-different areas and the size of the motion similarity of the tracking target, the different weights are given in the context region and the weight matrix is calculated. Finally, the one-dimensional and multi-dimensional solutions with the original and dual field are given. Based on the benchmark test set OTB-100, the results show that the framework significantly improves the robustness of filter and the tracking speed is comparable to the CA framework. However, the tracking accuracy and success rate are improved by 7% and 14% respectively.

Key words: visual tracking, correlation filter, weighted global context-aware