Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Visual object tracking via a manifold regularized discriminative dual dictionary model | |
Wang, Lingfeng; Pan, Chunhong | |
发表期刊 | PATTERN RECOGNITION |
ISSN | 0031-3203 |
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 |
DOI | 10.1016/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 | |
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 |
推荐引用方式 GB/T 7714 | 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. |
条目包含的文件 | 条目无相关文件。 |
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