A real time system for robust 3D voxel reconstruction of human motions

Kong Man Cheung, Takeo Kanade, J.-Y. Bouguet, and M. Holler
Proceedings of the 2000 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '00), July, 2000, pp. 714 - 720.


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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.

Notes

Text Reference
Kong Man Cheung, Takeo Kanade, J.-Y. Bouguet, and M. Holler, "A real time system for robust 3D voxel reconstruction of human motions," Proceedings of the 2000 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '00), July, 2000, pp. 714 - 720.

BibTeX Reference
@inproceedings{Cheung_2000_3533,
   author = "Kong Man Cheung and Takeo Kanade and J.-Y. Bouguet and M. Holler",
   title = "A real time system for robust 3D voxel reconstruction of human motions",
   booktitle = "Proceedings of the 2000 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '00)",
   pages = "714 - 720",
   month = "July",
   year = "2000",
   volume = "2",
}