Share Email Print
cover

Proceedings Paper

Anti-occlusion target tracking algorithm based on template filtering
Author(s): Wangrong Cheng; Chunpu Xu; Jinwen Tian
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 1142913 (14 February 2020); doi: 10.1117/12.2541594
Show Author Affiliations
Wangrong Cheng, Huazhong Univ. of Science and Technology (China)
Chunpu Xu, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11429:
MIPPR 2019: Automatic Target Recognition and Navigation
Jianguo Liu; Hanyu Hong; Xia Hua, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray