CASIA OpenIR  > 智能感知与计算研究中心
Robust tracking with adaptive appearance learning and occlusion detection
Ding, Jianwei1; Tang, Yunqi1; Tian, Huawei1; Liu, Wei2; Huang, Yongzhen3
Source PublicationMULTIMEDIA SYSTEMS
2016-03-01
Volume22Issue:2Pages:255-269
SubtypeArticle
AbstractIt is still challenging to design a robust and efficient tracking algorithm in complex scenes. We propose a new object tracking algorithm with adaptive appearance learning and occlusion detection in an efficient self-tuning particle filter framework. The appearance of an object is modeled with a set of weighted and ordered submanifolds, which can guarantee the adaptability when there is fast illumination or pose change. To overcome the occlusion problem, we use the reconstruction error data of the appearance model to extract occlusion region by graph cuts. And the tracking result is improved with feedback of occlusion detection. The motion model is also integrated with adaptability to overcome the abrupt motion problem. To improve the efficiency of particle filter, the number of samples is tuned with respect to the scene conditions. Experimental results demonstrate that our algorithm can achieve great robustness, high accuracy and good efficiency in challenging scenes.
KeywordObject Tracking Manifold Occlusion Detection Graph Cuts
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00530-015-0460-y
WOS KeywordVISUAL TRACKING ; OBJECT TRACKING ; MODELS
Indexed BySCI
Language英语
Funding OrganizationFundamental Research Funds for the Central Universities(2014JKF01116) ; National High Technology Research and Development Program of China(2013AA014604) ; National Natural Science Foundation of China(61402484 ; SAMSUNG GRO Program ; CCF-Tencent Program ; 360 OpenLab Program ; 61203252)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000376407000008
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12226
Collection智能感知与计算研究中心
Affiliation1.Peoples Publ Secur Univ China, Beijing, Peoples R China
2.Nanyang Normal Univ, Nanyang, Henan, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Ding, Jianwei,Tang, Yunqi,Tian, Huawei,et al. Robust tracking with adaptive appearance learning and occlusion detection[J]. MULTIMEDIA SYSTEMS,2016,22(2):255-269.
APA Ding, Jianwei,Tang, Yunqi,Tian, Huawei,Liu, Wei,&Huang, Yongzhen.(2016).Robust tracking with adaptive appearance learning and occlusion detection.MULTIMEDIA SYSTEMS,22(2),255-269.
MLA Ding, Jianwei,et al."Robust tracking with adaptive appearance learning and occlusion detection".MULTIMEDIA SYSTEMS 22.2(2016):255-269.
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