A Biologically Inspired Appearance Model for Robust Visual Tracking | |
Zhang, Shengping1; Lan, Xiangyuan2; Yao, Hongxun3; Zhou, Huiyu4; Tao, Dacheng5,6; Li, Xuelong7 | |
刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS |
2017-10-01 | |
卷号 | 28期号:10页码:2357-2370 |
关键词 | Appearance Modeling Biologically Inspiration Sparse Coding Visual Tracking |
ISSN号 | 2162-237X |
DOI | 10.1109/TNNLS.2016.2586194 |
产权排序 | 7 |
文献子类 | Article |
英文摘要 | In this paper, we propose a biologically inspired appearance model for robust visual tracking. Motivated in part by the success of the hierarchical organization of the primary visual cortex (area V1), we establish an architecture consisting of five layers: whitening, rectification, normalization, coding, and pooling. The first three layers stem from the models developed for object recognition. In this paper, our attention focuses on the coding and pooling layers. In particular, we use a discriminative sparse coding method in the coding layer along with spatial pyramid representation in the pooling layer, which makes it easier to distinguish the target to be tracked from its background in the presence of appearance variations. An extensive experimental study shows that the proposed method has higher tracking accuracy than several state-of-the-art trackers. |
WOS关键词 | OBJECT TRACKING ; RECEPTIVE-FIELDS ; FEATURES ; RECOGNITION ; CORTEX ; CLASSIFICATION ; SELECTION ; BENCHMARK ; SPARSITY ; SHIFT |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000411293200012 |
资助机构 | National Natural Science Foundation of China(61300111 ; Australian Research Council(DP-140102164 ; UK EPSRC(EP/G034303/1 ; 61472103 ; FT-130101457 ; EP/N508664/1 ; 61133003) ; LE140100061) ; EP/N011074/1) |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/29362] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Harbin Inst Technol, Sch Comp Sci & Technol, Weihai 264209, Peoples R China 2.Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China 3.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China 4.Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland 5.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, 81 Broadway St, Ultimo, NSW 2007, Australia 6.Univ Technol Sydney, Fac Engn & Informat Technol, 81 Broadway St, Ultimo, NSW 2007, Australia 7.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Optic & Precis Mech, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Shengping,Lan, Xiangyuan,Yao, Hongxun,et al. A Biologically Inspired Appearance Model for Robust Visual Tracking[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2017,28(10):2357-2370. |
APA | Zhang, Shengping,Lan, Xiangyuan,Yao, Hongxun,Zhou, Huiyu,Tao, Dacheng,&Li, Xuelong.(2017).A Biologically Inspired Appearance Model for Robust Visual Tracking.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,28(10),2357-2370. |
MLA | Zhang, Shengping,et al."A Biologically Inspired Appearance Model for Robust Visual Tracking".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 28.10(2017):2357-2370. |
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