A scale transform and deformation target tracking algorithm based on correlation filtering

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Hu, Cong^1^2 ; Xia, Wei^1^2 ; Chen, Peng^1^2 ; Huang, Shun^1^2 ; Guo, Hui^1^2 ; Jin, Xing^1^2

School of Automation, China University of Geosciences, Wuhan

430074, China^1

Hubeikey Laboratory of Advanced Control and Intelligent Automation for Complex System, Wuhan

430074, China^2

关键词: Adaptive correlation filters;    Comparison methods;    Correlation filtering;    Correlation filters;    Multiple video sequences;    Optimal estimations;    Target tracking algorithm;    Tracking algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052051/pdf
DOI  :  10.1088/1757-899X/569/5/052051

来源: IOP

【 摘 要 】

In order to improve the robustness of the correlation filtering (CF) tracking algorithm and overcome the problem that the traditional correlation filtering method can not deal with the target's scale and deformation change, a feature-adaptive scale adaptive correlation filter tracking algorithm is proposed. Firstly, the target is characterized; then the output filter is calculated by using the correlation filter; finally, the image blocks of different scales are intercepted from the target position of the current frame, and the optimal estimation of the target scale is obtained by the adaptive scale pool model. The experiment selects multiple video sequences for testing and compares the proposed algorithm with other target tracking methods. The experimental results show that the average performance is better than the comparison method.