DocumentCode :
465209
Title :
Extraction and Integration of Human Body Parts for 3-D Motion Analysis of Golf Swing from Single-Camera Video Sequences
Author :
Karliga, Ibrahim ; Hwang, Jenq-Neng
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA
fYear :
2007
fDate :
27-30 May 2007
Firstpage :
3960
Lastpage :
3963
Abstract :
We present a framework for analyzing the human body 3D motion of golf swing from single-camera video sequences. The system is different from the methods in the literature as it evaluates the 3D model for each major body part separately to derive a more accurate 3D representation. The human body parts used for the analysis are automatically extracted using a video object segmentation technique. This 2D information estimated from the segmented body parts is utilized to obtain 3D body part models, consisting of head, upper arms, lower arms, body trunk, upper legs, lower legs and feet. The objective of the system is to obtain the 3D motion information for performance evaluation in golf swinging and comparing this information for different players.
Keywords :
image segmentation; image sequences; motion estimation; 3D motion analysis; human body 3D motion; performance evaluation; single-camera video sequences; video object segmentation technique; Arm; Biological system modeling; Data mining; Humans; Iterative algorithms; Kinematics; Leg; Motion analysis; Object segmentation; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
Type :
conf
DOI :
10.1109/ISCAS.2007.378667
Filename :
4253549
Link To Document :
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