Visual object tracking via a manifold regularized discriminative dual dictionary model
Wang, Lingfeng; Pan, Chunhong
发表期刊PATTERN RECOGNITION
ISSN0031-3203
2019-07-01
卷号91页码:272-280
通讯作者Wang, Lingfeng(lfwang@nlpr.ia.ac.cn)
摘要Real-time object tracking plays an important role in many computer vision systems, yet in complex scenarios, it is still a very challenging problem. In this paper, we propose a new visual tracking algorithm via a manifold regularized discriminative dual dictionary (MD3) model. First, a dual dictionary is introduced to avoid the calculation of representation coefficient in distance function construction. Second, the local background templates are utilized to keep the learned dictionaries discriminative. Third, the manifold regularization on representation coefficient is proposed to ensure that MD3 model has a bit error tolerance on the object update. We formulate object tracking in a particle filter framework, in which the observation model is calculated as the reconstruction error between learned dictionaries and the candidate template. Extensive experiments in various tracking scenarios are performed to evaluate the proposed method, and the results interpret that the tracking accuracy as well as the computational cost can be improved as compared with the state-of-the-art approaches. (C) 2019 Elsevier Ltd. All rights reserved.
关键词Visual tracking Dictionary learning Dual dictionary Manifold regularization
DOI10.1016/j.patcog.2019.02.008
关键词[WOS]SPARSE REPRESENTATION ; ONLINE
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[91646207] ; National Natural Science Foundation of China[61773377] ; National Natural Science Foundation of China[61773377] ; National Natural Science Foundation of China[91646207]
项目资助者National Natural Science Foundation of China
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000466250400022
出版者ELSEVIER SCI LTD
七大方向——子方向分类目标检测、跟踪与识别
引用统计
被引频次:7[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/173211/24243
专题模式识别国家重点实验室_先进时空数据分析与学习
通讯作者Wang, Lingfeng
作者单位Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
第一作者单位模式识别国家重点实验室
通讯作者单位模式识别国家重点实验室
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Wang, Lingfeng,Pan, Chunhong. Visual object tracking via a manifold regularized discriminative dual dictionary model[J]. PATTERN RECOGNITION,2019,91:272-280.
APA Wang, Lingfeng,&Pan, Chunhong.(2019).Visual object tracking via a manifold regularized discriminative dual dictionary model.PATTERN RECOGNITION,91,272-280.
MLA Wang, Lingfeng,et al."Visual object tracking via a manifold regularized discriminative dual dictionary model".PATTERN RECOGNITION 91(2019):272-280.
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