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Scale adaptive part-based tracking method using multiple correlation filters
Chen, Hongyu1,2,3,4,5,6; Luo, Haibo1,2,3,5,6; Chen, Faling1,2,3,4,5,6; Hui, Bin1,2,3,5,6; Chang, Zheng1,2,3,5,6
Corresponding AuthorChen, Hongyu(chenhongyu@sia.cn)
2019-05-01
Source PublicationOPTICAL ENGINEERING
ISSN0091-3286
Volume58Issue:5Pages:12
AbstractVisual tracking plays a significant role in computer vision. Although numerous tracking algorithms have shown promising results, target tracking remains a challenging task due to appearance changes caused by deformation, scale variation, and partial occlusion. Part-based methods have great potential in addressing the deformation and partial occlusion issues. Owing to the addition of multiple part trackers, most of these part-based trackers cannot run in real time. Correlation filters have been used in target tracking owing to their high efficiency. However, the correlation filter-based trackers face great problems dealing with occlusion, deformation, and scale variation. To better address the above-mentioned issues, we present a scale adaptive part-based tracking method using multiple correlation filters. Our proposed method utilizes the scale-adaptive tracker for both root and parts. The target location is determined by the responses of root tracker and part trackers collaboratively. To estimate the target scale more precisely, the root scale and each part scale are predicted with the sequential Monte Carlo framework. An adaptive weight joint confidence map is acquired by assigning proper weights to independent confidence maps. Experimental results on the publicly available OTB100 dataset demonstrate that our approach outperforms other state-of-the-art trackers. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE).
Keywordtarget tracking correlation filter scale estimation deformable parts model computer vision
DOI10.1117/1.OE.58.5.053106
Indexed BySCI
Language英语
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000481889500017
PublisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/134942
Collection中国科学院金属研究所
Corresponding AuthorChen, Hongyu
Affiliation1.Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China
2.Chinese Acad Sci, Inst Robot, Shenyang, Liaoning, Peoples R China
3.Chinese Acad Sci, Inst Intelligent Mfg, Shenyang, Liaoning, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Chinese Acad Sci, Key Lab Optoelect Informat Proc, Shenyang, Liaoning, Peoples R China
6.The Key Lab Image Understanding & Comp Vis, Shenyang, Liaoning, Peoples R China
Recommended Citation
GB/T 7714
Chen, Hongyu,Luo, Haibo,Chen, Faling,et al. Scale adaptive part-based tracking method using multiple correlation filters[J]. OPTICAL ENGINEERING,2019,58(5):12.
APA Chen, Hongyu,Luo, Haibo,Chen, Faling,Hui, Bin,&Chang, Zheng.(2019).Scale adaptive part-based tracking method using multiple correlation filters.OPTICAL ENGINEERING,58(5),12.
MLA Chen, Hongyu,et al."Scale adaptive part-based tracking method using multiple correlation filters".OPTICAL ENGINEERING 58.5(2019):12.
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