A real-time 3D human body tracking and modeling system

被引：5

作者：

Li, Jing-Feng ^{[1
]}

Xu, Yi-Hua ^{[1
]}

Chen, Yang ^{[1
]}

Jia, Yun-De ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Comp Sci, Beijing 100081, Peoples R China

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年

基金：

美国国家科学基金会;

关键词：

machine vision; particle tracking; modeling; stereo vision;

D O I：

10.1109/ICIP.2006.312992

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a real-time system for 3D human upper body tracking and modeling is proposed. The system uses multiple cameras to recover the depth maps in real-time, then integrates both color and depth information to track the human body, head, and hands, and finally recovers the 3D upper body model parameters from the tracking results. Extensive experiments demonstrate that the system can track and rebuild human model in complicated situations. The system makes good tradeoff between the accuracy and system simplicity, and can be widely used in many applications, such as desktop interaction and digital entertainments.

引用

页码：2809 / +

页数：2

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