HUMAN POSE ESTIMATION FROM MONOCULAR IMAGE CAPTURES

被引：0

作者：

Lin, Huei-Yung ^{[1
]}

Chen, Ting-Wen ^{[1
]}

Chen, Chih-Chang ^{[2
]}

Hsieh, Chia-Hao ^{[1
]}

Lie, Wen-Nung ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 621, Taiwan

[2] Ind Technol Res Inst, Human Comp Interact Lab, Tainan 734, Taiwan

来源：

ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年

关键词：

TRACKING; ACQUISITION;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A human pose estimation method from monocular image captures is presented. The objective is to develop a human-computer interface (HCI) for virtual sport activities. In the proposed technique, a graphical 3D human model is first constructed. Its projection on a virtual image plane is then used to match the silhouettes obtained from the image sequence. By iteratively adjusting the 3D pose of the graphical 3D model with the physical and anatomic constraints of human motion, the human pose and the associate 3D motion parameters can be uniquely identified. Experimental results are presented with the real scene images.

引用

页码：994 / +

页数：2

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