A survey of advances in vision-based human motion capture and analysis

被引:1569
作者
Moeslund, Thomas B. [1 ]
Hilton, Adrian
Kruger, Volker
机构
[1] Aalborg Univ, Lab Comp Vis & Media Technol, DK-9220 Aalborg, Denmark
[2] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 7XH, Surrey, England
[3] Aalborg Univ, Aalborg Media Lab, DK-2750 Ballerup, Denmark
基金
英国工程与自然科学研究理事会;
关键词
review; human motion; initialization; tracking; pose estimation; recognition;
D O I
10.1016/j.cviu.2006.08.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 [T.B. Moeslund, E. Granum, A survey of computer vision-based human motion capture, Computer Vision and Image Understanding, 8 1(3) (2001) 231-268.]. Human motion capture continues to be an increasingly active research area in computer vision with over 350 publications over this period. A number of significant research advances are identified together with novel methodologies for automatic initialization, tracking, pose estimation, and movement recognition. Recent research has addressed reliable tracking and pose estimation in natural scenes. Progress has also been made towards automatic understanding of human actions and behavior. This survey reviews recent trends in video-based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:90 / 126
页数:37
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