A real time system for robust 3D voxel reconstruction of human motions - Robotics Institute Carnegie Mellon University

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

Kong Man Cheung, Takeo Kanade, J.-Y. Bouguet, and M. Holler
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, Vol. 2, pp. 714 - 720, June, 2000
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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.

BibTeX

@conference{Cheung-2000-8053,
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 (CVPR) Computer Vision and Pattern Recognition},
year = {2000},
month = {June},
volume = {2},
pages = {714 - 720},
}
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