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Robust tracking with adaptive appearance learning and occlusion detection
Ding, Jianwei1; Tang, Yunqi1; Tian, Huawei1; Liu, Wei2; Huang, Yongzhen3
2016-03-01
发表期刊MULTIMEDIA SYSTEMS
卷号22期号:2页码:255-269
文章类型Article
摘要It 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.
关键词Object Tracking Manifold Occlusion Detection Graph Cuts
WOS标题词Science & Technology ; Technology
DOI10.1007/s00530-015-0460-y
关键词[WOS]VISUAL TRACKING ; OBJECT TRACKING ; MODELS
收录类别SCI
语种英语
项目资助者Fundamental 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研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000376407000008
引用统计
被引频次:2[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/173211/12226
专题智能感知与计算研究中心
作者单位1.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
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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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