A Real Time System for Robust 3D Voxel Reconstruction of Human Motions
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.
Cite
Text
Cheung et al. "A Real Time System for Robust 3D Voxel Reconstruction of Human Motions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854944Markdown
[Cheung et al. "A Real Time System for Robust 3D Voxel Reconstruction of Human Motions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/cheung2000cvpr-real/) doi:10.1109/CVPR.2000.854944BibTeX
@inproceedings{cheung2000cvpr-real,
title = {{A Real Time System for Robust 3D Voxel Reconstruction of Human Motions}},
author = {Cheung, German K. M. and Kanade, Takeo and Bouguet, Jean-Yves and Holler, Mark},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {2714-2720},
doi = {10.1109/CVPR.2000.854944},
url = {https://mlanthology.org/cvpr/2000/cheung2000cvpr-real/}
}