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A High-Precision eccentric Tracking Algorithm of Laser Interfering Targets Based on Kernel Correlation Filtering
Zhang, Xing1,2; Tian, Yan1; Pan, Jiajia1,2; Hao, Wei1
2018
Conference Name3rd IEEE International Conference on Image, Vision and Computing (ICIVC)
Source Publication2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)
Pages637-641
Conference Date2018-06-27
Conference PlaceChongqing, PEOPLES R CHINA
PublisherIEEE
Contribution Rank1
Abstract

Laser weapons and laser three-dimensional imaging require high precision in target tracking, at the same time, it also need to face the situation where the target is interfered by the laser. To meet this need, in this paper, we propose a high-precision eccentric tracking algorithm based on kernel correlation filtering, which can be used to solve the problem. We simulated on Visual Studio and CCS platforms and the result show that the Average of Center Location Error (ACLE) can reach 0.74 pixels. For comparison, the ACLE of Tracking algorithm Based on Template Matching (TBTM) is 3.7pixels. In addition, our algorithm can run at 178 Frames-per-Second, the fake code is provided in the paper (see Algorithm 1).

Department光电测量技术实验室
Indexed ByEI ; CPCI
ISBN978-1-5386-4991-6
Language英语
WOS IDWOS:000448170000126
EI Accession Number20184706085966
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30708
Collection光电测量技术实验室
Corresponding AuthorZhang, Xing
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Xing,Tian, Yan,Pan, Jiajia,et al. A High-Precision eccentric Tracking Algorithm of Laser Interfering Targets Based on Kernel Correlation Filtering[C]:IEEE,2018:637-641.
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