DocumentCode :
1887372
Title :
Automatic Video-based Analysis of Athlete Action
Author :
Li, Haojie ; Lin, Shouxun ; Zhang, Yongdong ; Tao, Kun
Author_Institution :
Chinese Acad. of Sci., Beijing
fYear :
2007
fDate :
10-14 Sept. 2007
Firstpage :
205
Lastpage :
210
Abstract :
Video analysis of athlete action is becoming an important tool for sports training, since it has no intervention to the athlete and there are abundant archived data it can exploit. In this paper we present our work on the automatic analysis of complex individual actions in diving video aiming at providing biometric measurements and visual tools for coaching assistant and performance improving. The main body joint angles of the athlete are automatic obtained by 2D articulated human body model fitting and shape analysis techniques. Two visual analyzing tools: motion panorama and overlay composition, which are extremely suitable for individual sports game training are presented. The encouraging experimental results show the effectiveness of the proposed system.
Keywords :
image motion analysis; sport; video signal processing; 2D articulated human body model fitting; athlete action video analysis; automatic analysis; automatic video-based analysis; biometric measurements; coaching assistant; complex individual actions; game training; motion panorama; overlay composition; shape analysis; sports training; visual analyzing tools; Biological system modeling; Biometrics; Cameras; Computer vision; Games; Humans; Joints; Motion analysis; Performance analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
Type :
conf
DOI :
10.1109/ICIAP.2007.4362780
Filename :
4362780
Link To Document :
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