Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (5): 142-147.doi: 10.19665/j.issn1001-2400.2019.05.020

Previous Articles     Next Articles

Algorithm for tracking an infrared single target based on correlation filtering with multi-feature fusion

SONG Jianfeng1,MIAO Qiguang1(),SHEN Meng1,QUAN Yining1,CHEN Yusheng2   

  1. 1. School of Computer Science and Technology, Xidian University, Xi’an 710071, China
    2. PLA Unit 96963, Beijing 100000, China
  • Received:2019-06-05 Online:2019-10-20 Published:2019-10-30
  • Contact: Qiguang MIAO E-mail:qgmiao@mail.xidian.edu.cn

Abstract:

iAimng at the problem of infrared single target tracking, a tracking algorithm based on Multi-feature and correlation filtering is proposed. The algorithm fuses convolution features and differential features. The convolution feature and differential feature are used to train the correlation filtering model, respectively. In the tracking stage, the response graphs obtained from the correlation filtering model of the two features are fused dynamically. The final position of the target is determined by the dynamic fusion response graph, and then the correlation filtering model is updated separately by using the obtained target position. Experiments on the Link?ping Thermal InfraRed dataset show that the proposed tracking algorithm has a higher tracking accuracy than the conventional tracking algorithms.

Key words: infrared target tracking, multiple features, convolutional networks, correlation filtering

CLC Number: 

  • TP37

Baidu
map