Moeslund, Thomas B.7; Hilton, Adrian9; Krüger, Volker5
1 Computer Vision and Media Technology Laboratory (CVMT), The Technical Faculty of IT and Design, Aalborg University, VBN2 Department of Media Technology, The Faculty of Engineering and Science (TECH), Aalborg University, VBN3 Sektion København, The Technical Faculty of IT and Design, Aalborg University, VBN4 Graphics Group, The Technical Faculty of IT and Design, Aalborg University, VBN5 Robotics, Vision and Machine Intelligence (RVMI), The Faculty of Engineering and Science, Aalborg University, VBN6 Visual Analysis of People Laboratory, The Technical Faculty of IT and Design, Aalborg University, VBN7 Aalborg U Robotics, The Faculty of Humanities, Aalborg University, VBN8 University of Surrey9 University of Surrey
This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 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.
Computer Vision and Image Understanding, 2006, Vol 104, Issue 2-3, p. 90-127