Viewpoint Insensitive Actions Recognition Using Hidden Conditional Random Fields

被引：0
|
作者：
Ji, Xiaofei [1 ,2 ]
Liu, Honghai [1 ]
Li, Yibo [2 ]
机构：
[1] Univ Portsmouth, Sch Creat Technol, Intelligent Syst & Biomed Robot Grp, Portsmouth PO1 2UP, Hants, England
[2] Shenyang Inst Aeronaut Engn, Sch Automat, Shenyang, Peoples R China
来源：
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I | 2010年 / 6276卷
关键词：
Human action recognition; Viewpoint insensitive; Conditional random field; Hidden conditional random field;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The viewpoint issue has been one of the bottlenecks for research development and practical implementation of human motion analysis. In this paper, we introduce a new method, e.g., hidden conditional random fields(HCRFs) to achieve viewpoint; insensitive human action recognition. The HCRF model can relax the independence assumption of the generative models. So it is very suitable to model the human actions from different actors and different viewpoints. Experiment results on a public dataset demonstrate the effectiveness and robustness of our method.
引用
收藏
页码：369 / +
页数：3
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