Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking
Ruan, Weijian1,2; Chen, Jun1,2; Wu, Yi3,4; Wang, Jinqiao5; Liang, Chao1,2; Hu, Ruimin1,2; Jiang, Junjun6,7
发表期刊IEEE TRANSACTIONS ON MULTIMEDIA
ISSN1520-9210
2019-05-01
卷号21期号:5页码:1122-1134
通讯作者Chen, Jun(chenj.whu@gmail.com)
摘要Correlation filters (CFs) have been extensively used in tracking tasks due to their high efficiency although most of them regard the tracked target as a whole and are minimally effective in handling partial occlusion. In this study, we incorporate a part-based strategy into the framework of CFs and propose a novel multipart correlation tracker with triangle-structure constraints. Specifically, we train multiple CFs for the global object and local parts, which are then jointly applied to obtain the correlation response of any candidate during tracking. The tracker is robust in handling partial occlusion because of the use of part-based representation. The remaining global representation can contribute reliable cues in cases wherein several local filters drift away in a specific scene. We further propose a triangle-structure model to measure the structural similarity of candidates. The model employs multiple triangles to determine the spatial relationship among parts and helps constrain the location of the target. Moreover, we introduce an effective part selection scheme based on energy and integrity, which is generally applicable to part-tracking models. Extensive experiments on two public benchmarks demonstrate the superiority of the proposed method over the state-of-the-art approaches.
关键词Correlation filters partial occlusions triangle structure high energy high integrity
DOI10.1109/TMM.2018.2872897
关键词[WOS]VISUAL TRACKING ; NONRIGID OBJECT
收录类别SCI
语种英语
资助项目Nature Science Foundation of Jiangsu Province[BK20160386] ; Hubei Province Technological Innovation Major Project[2018AAA062] ; Hubei Province Technological Innovation Major Project[2017AAA123] ; National Key R&D Program of China[2017YFC0803700] ; National Nature Science Foundation of China[61876086] ; National Nature Science Foundation of China[61876135] ; National Nature Science Foundation of China[U1611461] ; National Nature Science Foundation of China[U1611461] ; National Nature Science Foundation of China[61876135] ; National Nature Science Foundation of China[61876086] ; National Key R&D Program of China[2017YFC0803700] ; Hubei Province Technological Innovation Major Project[2017AAA123] ; Hubei Province Technological Innovation Major Project[2018AAA062] ; Nature Science Foundation of Jiangsu Province[BK20160386]
项目资助者National Nature Science Foundation of China ; National Key R&D Program of China ; Hubei Province Technological Innovation Major Project ; Nature Science Foundation of Jiangsu Province
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号WOS:000466223600004
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:48[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/24210
专题紫东太初大模型研究中心_图像与视频分析
通讯作者Chen, Jun
作者单位1.Wuhan Univ, Sch Comp, Natl Engn Res Ctr Multimedia Software, Wuhan 430072, Hubei, Peoples R China
2.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430072, Hubei, Peoples R China
3.CuraCloud Corp, Seattle, WA 98104 USA
4.Nanjing Audit Univ, Nanjing 211815, Jiangsu, Peoples R China
5.Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
6.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
7.Peng Cheng Lab, Shenzhen, Peoples R China
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GB/T 7714
Ruan, Weijian,Chen, Jun,Wu, Yi,et al. Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2019,21(5):1122-1134.
APA Ruan, Weijian.,Chen, Jun.,Wu, Yi.,Wang, Jinqiao.,Liang, Chao.,...&Jiang, Junjun.(2019).Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking.IEEE TRANSACTIONS ON MULTIMEDIA,21(5),1122-1134.
MLA Ruan, Weijian,et al."Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking".IEEE TRANSACTIONS ON MULTIMEDIA 21.5(2019):1122-1134.
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