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Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking
Yang, Yehui1; Xie, Yuan1; Zhang, Wensheng1; Hu, Wenrui1; Tan, Yuanhua2
Source PublicationNEUROCOMPUTING
2015-07-21
Volume2015Issue:160Pages:191-205
SubtypeArticle
AbstractThis paper presents a robust tracking algorithm by sparsely representing the object at both global and local levels. Accordingly, the algorithm is constructed by two complementary parts: Global Coupled Learning (GCL) part and Local Consistencies Ensuring (LCE) part. The global part is a discriminative model which aims to utilize the holistic features of the object via an over-complete global dictionary and classifier, and the dictionary and classifier are coupled learning to construct an adaptive GCL part. While in LCE part, we explore the object's local features by sparsely coding the object patches via a local dictionary, then both temporal and spatial consistencies of the local patches are ensured to refine the tracking results. Moreover, the GCL and LCE parts are integrated into a Bayesian framework for constructing the final tracker. Experiments on fifteen benchmark challenging sequences demonstrate that the proposed algorithm has more effectiveness and robustness than the alternative ten state-of-the-art trackers. (C) 2015 Elsevier B.V. All rights reserved.
KeywordVisual Tracking Sparse Representation Dictionary Learning Coupled Learning Consistency Ensuring
WOS HeadingsScience & Technology ; Technology
WOS KeywordROBUST VISUAL TRACKING ; APPEARANCE MODEL ; OBJECT TRACKING ; REPRESENTATION ; REGRESSION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000354139100017
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8073
Collection精密感知与控制研究中心_人工智能与机器学习
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Karamay Hongyou Software CO LTD, Karamay 834000, Peoples R China
Recommended Citation
GB/T 7714
Yang, Yehui,Xie, Yuan,Zhang, Wensheng,et al. Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking[J]. NEUROCOMPUTING,2015,2015(160):191-205.
APA Yang, Yehui,Xie, Yuan,Zhang, Wensheng,Hu, Wenrui,&Tan, Yuanhua.(2015).Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking.NEUROCOMPUTING,2015(160),191-205.
MLA Yang, Yehui,et al."Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking".NEUROCOMPUTING 2015.160(2015):191-205.
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