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Layered Multitask Tracker via Spatial-Temporal Laplacian Graph
Fan BJ(范保杰); Li XM(李小毛); Cong Y(丛杨)
Department机器人学研究室
Source PublicationIEEE SIGNAL PROCESSING LETTERS
ISSN1070-9908
2017
Volume24Issue:12Pages:1768-1772
Indexed BySCI ; EI
EI Accession number20174104263619
WOS IDWOS:000413334300003
Contribution Rank3
Funding OrganizationChina Postdoctoral Science Foundation [2015M571785, 2016T90484] ; Foundation of Nanjing University of Tele. and Com. [NY215148, NY217061]
KeywordObject Tracking Reverse Layered Multitask Learning Spatial-temporal Laplacian Graphs Weighted Similarity Map
AbstractMost multitask trackers define the trace of each candidate as one task, and assume all tasks are equally related. Multitask learning is only evaluated on the current frame. In fact, these assumptions are limited, and ignore the multitask relationship in consecutive frames. In this letter, we propose a discriminative layered multitask tracker via spatial-temporal Laplacian graphs, which defines the layered tasks from a novel view, and naturally incorporates the global and local target information into reverse multitask tracking process. The spatial-temporal Laplacian graphs not only exploit the sequential consistent information of the target, but also make full use of the geometric structure corresponding to the tasks among the adjacent frames. Besides, l(0) norm constraint and labeling information are used to improve the tracking robustness. Encouraging experimental results on challenging sequences justify that the proposed method performs well both in accuracy and robustness against some related trackers.
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21471
Collection机器人学研究室
Corresponding AuthorFan BJ(范保杰)
Affiliation1.Automation College, Nanjing University of Posts and Telecommunications, Nanjing, China
2.Shanghai University, Shanghai, China
3.State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Fan BJ,Li XM,Cong Y. Layered Multitask Tracker via Spatial-Temporal Laplacian Graph[J]. IEEE SIGNAL PROCESSING LETTERS,2017,24(12):1768-1772.
APA Fan BJ,Li XM,&Cong Y.(2017).Layered Multitask Tracker via Spatial-Temporal Laplacian Graph.IEEE SIGNAL PROCESSING LETTERS,24(12),1768-1772.
MLA Fan BJ,et al."Layered Multitask Tracker via Spatial-Temporal Laplacian Graph".IEEE SIGNAL PROCESSING LETTERS 24.12(2017):1768-1772.
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