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ORGM: Occlusion Relational Graphical Model for Human Pose Estimation

文献类型：期刊论文

作者Fu, Lianrui1; Zhang, Junge1; Huang, Kaiqi1,2
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2017-02-01
卷号26期号:2页码:927-941
关键词Occlusion Pose Estimation Spacial Relationship Mixture Graphical Model
DOI10.1109/TIP.2016.2639441
文献子类Article
英文摘要Articulated human pose estimation from monocular image is a challenging problem in computer vision. Occlusion is a main challenge for human pose estimation, which is largely ignored in popular tree structured models. The tree structured model is simple and convenient for exact inference, but short in modeling the occlusion coherence especially in the case of self-occlusion. We propose an occlusion relational graphical model, which is able to model both self-occlusion and occlusion by the other objects simultaneously. The proposed model can encode the interactions between human body parts and objects, and enables it to learn occlusion coherence from data discriminatively. We evaluate our model on several public benchmarks for human pose estimation, including challenging subsets featuring significant occlusion. The experimental results show that our method is superior to the previous state-of-the-arts, and is robust to occlusion for 2D human pose estimation.
WOS关键词PICTORIAL STRUCTURES ; FLEXIBLE MIXTURES ; PARTS
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000404773100025
资助机构National Natural Science Foundation of China(61322209 ; International Partnership Program of the Chinese Academy of Science(173211KYSB20160008) ; 61673375 ; 61403387)
源URL[http://ir.ia.ac.cn/handle/173211/15238]  
专题自动化研究所_智能感知与计算研究中心
作者单位1.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Fu, Lianrui,Zhang, Junge,Huang, Kaiqi. ORGM: Occlusion Relational Graphical Model for Human Pose Estimation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(2):927-941.
APA Fu, Lianrui,Zhang, Junge,&Huang, Kaiqi.(2017).ORGM: Occlusion Relational Graphical Model for Human Pose Estimation.IEEE TRANSACTIONS ON IMAGE PROCESSING,26(2),927-941.
MLA Fu, Lianrui,et al."ORGM: Occlusion Relational Graphical Model for Human Pose Estimation".IEEE TRANSACTIONS ON IMAGE PROCESSING 26.2(2017):927-941.

入库方式： OAI收割

来源：自动化研究所

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