A Real Time System For Robust 3D Voxel Reconstruction Of Human Motions

G. K. M. Cheung; T. Kanade; J. -. Bouguet and M. Holler

Venue: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2000
Recognition: Most Influential CVPR 2000 Paper (Rank No. 14)
Edition: 2026-03
Impact factor: 6
Certificate ID: 520f52a79160eb65

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.

Download PDF certificate