DocumentCode :
1427174
Title :
Model-based estimation of 3D human motion
Author :
Kakadiaris, Ioannis ; Metaxas, Dimitris
Author_Institution :
Dept. of Comput. Sci., Houston Univ., TX, USA
Volume :
22
Issue :
12
fYear :
2000
fDate :
12/1/2000 12:00:00 AM
Firstpage :
1453
Lastpage :
1459
Abstract :
This paper presents the formulations and techniques that we have developed for the 3D model-based, motion estimation of human movement from multiple cameras. Our method is based on the spatio-temporal analysis of the subject´s silhouette and it has the advantage that the subject does not have to wear markers or other devices. We present tracking results from experiments involving the recovery of complex motions in the presence of significant occlusion
Keywords :
computer vision; image reconstruction; motion estimation; optical tracking; stereo image processing; 3D model; computer vision; deformable modelling; human movement; image recovery; motion estimation; spatiotemporal analysis; tracking; Active shape model; Biological system modeling; Cameras; Deformable models; Facial animation; Humans; Image motion analysis; Motion analysis; Motion estimation; Tracking;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.895978
Filename :
895978
Link To Document :
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