DocumentCode
2207194
Title
A real time system for robust 3D voxel reconstruction of human motions
Author
Cheung, German K M ; Kanade, Takeo ; Bouguet, Jean-Yves ; Holler, Mark
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
714
Abstract
We present a multi-PC/camera system that can perform 3D reconstruction and ellipsoid fitting of moving humans in real time. The system consists of five cameras. Each camera is connected to a PC which locally extracts the silhouettes of the moving person in the image captured by the camera. The five silhouette images are then sent, via local network, to a host computer to perform 3D voxel-based reconstruction by an algorithm called SPOT. Ellipsoids are then used to fit the reconstructed data. By using a simple and user-friendly interface, the user can display and observe, in real time and from any view-point, the 3D models of the moving human body. With a rate of higher than 15 frames per second, the system is able to capture non-intrusively, a sequence of human motions
Keywords
image motion analysis; image reconstruction; microcomputer applications; real-time systems; 3D models; 3D reconstruction; 3D voxel-based reconstruction; SPOT; ellipsoid fitting; host computer; human motions; image capture; local network; moving humans; moving person; multi-PC/camera system; real time system; reconstructed data; robust 3D voxel reconstruction; silhouette extraction; silhouette images; user-friendly interface; Cameras; Computer displays; Computer networks; Data mining; Ellipsoids; Humans; Image reconstruction; Real time systems; Robustness; Three dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location
Hilton Head Island, SC
ISSN
1063-6919
Print_ISBN
0-7695-0662-3
Type
conf
DOI
10.1109/CVPR.2000.854944
Filename
854944
Link To Document