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A Comparison of Correlation Filter-Based Trackers and Struck Trackers
Wang, Jinqiao1,2; Zheng, Linyu1,2; Tang, Ming1,2; Feng, Jiayi3
Source PublicationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN1051-8215
2020-09-01
Volume30Issue:9Pages:3106-3118
Corresponding AuthorWang, Jinqiao(jqwang@nlpr.ia.ac.cn)
AbstractIn recent years, two types of trackers, namely correlation filter-based tracker (CF tracker) and structured output tracker (struck), have exhibited the state-of-the-art performance. However, there seems to be a lack of analytic work on their relations in the computer vision community. In this paper, we investigate two state-of-the-art CF trackers, i.e., spatial regularization discriminative correlation filter (SRDCF) and correlation filter with limited boundaries (CFLB), and struck, and reveal their relations. Specifically, after extending the CFLB to its multiple channel versions, we prove the relation between SRDCF and CFLB on the condition that the spatial regularization factor of SRDCF is replaced by the masking matrix of CFLB. We also prove the asymptotical approximate relation between SRDCF and struck on the conditions that the spatial regularization factor of SRDCF is replaced by an indicator function of object bounding box, the weights of SRDCF in its loss item are replaced by those of struck, the linear kernel is employed by struck, and the search region tends to infinity. The extensive experiments on public benchmarks OTB50 and OTB100 are conducted to verify our theoretical results. Moreover, we explain how detailed differences among SRDCF, CFLB, and Struck would give rise to slightly different performances on visual sequences.
KeywordCorrelation Target tracking Kernel Support vector machines Training Optimization Discrete Fourier transforms Visual tracking correlation filters structured output SVM tracker struck ranking SVM tracker
DOI10.1109/TCSVT.2019.2931924
WOS KeywordOBJECT TRACKING ; VISUAL TRACKING
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of China[61772527]
Funding OrganizationNatural Science Foundation of China
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000567499300025
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/41954
Collection中国科学院自动化研究所
Corresponding AuthorWang, Jinqiao
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Microsoft Search Technol Ctr Asia STCA, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Jinqiao,Zheng, Linyu,Tang, Ming,et al. A Comparison of Correlation Filter-Based Trackers and Struck Trackers[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2020,30(9):3106-3118.
APA Wang, Jinqiao,Zheng, Linyu,Tang, Ming,&Feng, Jiayi.(2020).A Comparison of Correlation Filter-Based Trackers and Struck Trackers.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,30(9),3106-3118.
MLA Wang, Jinqiao,et al."A Comparison of Correlation Filter-Based Trackers and Struck Trackers".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 30.9(2020):3106-3118.
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