A 3D shape descriptor for human pose recovery

被引：0

作者：

Gond, Laetitia ^{[1
]}

Sayd, Patrick ^{[1
]}

Chateau, Thierry ^{[2
]}

Dhome, Michel ^{[2
]}

机构：

[1] CEA, LIST, Lab Syst Vis Embarques, Boite Courrier 94, F-91191 Gif Sur Yvette, France

[2] Univ Blaise Pascal, CNRS, LASMEA, Clermont Ferrand, France

来源：

ARTICULATED MOTION AND DEFORMABLE OBJECTS, PROCEEDINGS | 2008年 / 5098卷

关键词：

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：

This paper deals with human body pose recovery through a multicamera system, which is a key task in monitoring of human activity. The proposed algorithm reconstructs the 3D visual hull of the observed body and characterizes its shape with a new 3D shape descriptor. The body pose is then infered through an original two-stage regression process. As the learning step is independant of the camera configuration, the resulting system is easy to set up. This solution is evaluated on synthetic scenes and promising results on real images are also presented.

引用

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页码：370 / +

页数：2

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