Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning
Yang, Yehui; Hu, Wenrui; Xie, Yuan; Zhang, Wensheng; Zhang, Tianzhu; Wensheng Zhang
2017-02-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
卷号47期号:2页码:485-498
文章类型Article
摘要An effective representation model, which aims to mine the most meaningful information in the data, plays an important role in visual tracking. Some recent particle-filter-based trackers achieve promising results by introducing the low-rank assumption into the representation model. However, their assumed low-rank structure of candidates limits the robustness when facing severe challenges such as abrupt motion. To avoid the above limitation, we propose a temporal restricted reverse-low-rank learning algorithm for visual tracking with the following advantages: 1) the reverse-low-rank model jointly represents target and background templates via candidates, which exploits the low-rank structure among consecutive target observations and enforces the temporal consistency of target in a global level; 2) the appearance consistency may be broken when target suffers from sudden changes. To overcome this issue, we propose a local constraint via (l)1,2 mixed-norm, which can not only ensures the local consistency of target appearance, but also tolerates the sudden changes between two adjacent frames; and 3) to alleviate the inference of unreasonable representation values due to outlier candidates, an adaptive weighted scheme is designed to improve the robustness of the tracker. By evaluating on 26 challenge video sequences, the experiments show the effectiveness and favorable performance of the proposed algorithm against 12 state-of-the-art visual trackers.
关键词Low-rank Sparse Representation Temporal Restriction Visual Tracking
WOS标题词Science & Technology ; Technology
DOI10.1109/TCYB.2016.2519532
关键词[WOS]OBJECT TRACKING ; REPRESENTATION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61402480 ; 61432008 ; 61472423 ; 61502495)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000395476200019
引用统计
被引频次:5[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/173211/12257
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Wensheng Zhang
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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GB/T 7714
Yang, Yehui,Hu, Wenrui,Xie, Yuan,et al. Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(2):485-498.
APA Yang, Yehui,Hu, Wenrui,Xie, Yuan,Zhang, Wensheng,Zhang, Tianzhu,&Wensheng Zhang.(2017).Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning.IEEE TRANSACTIONS ON CYBERNETICS,47(2),485-498.
MLA Yang, Yehui,et al."Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning".IEEE TRANSACTIONS ON CYBERNETICS 47.2(2017):485-498.
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