@conference {cLopez-Mendez07,
	title = {Multi-person 3D Tracking with Particle Filters on Voxels},
	booktitle = {2007 International Conference on Acoustics, Speech and Signal Processing},
	year = {2007},
	abstract = {<p>This paper presents a new approach to the problem of simultaneous tracking of several people in low resolution sequences from multiple calibrated cameras. Spatial redundancy is exploited to generate a discrete 3D binary representation of the scene. A particle filtering scheme adapted to the incoming 3D discrete data is proposed. A volume likelihood function and a discrete 3D re-sampling procedure are introduced to evaluate and drive particles. Multiple targets are tracked by means of multiple particle filters and interaction among them is modeled through a 3D blocking scheme. Test over annotated databases yield quantitative results showing the effectiveness of the proposed algorithm in the indoor scenarios.</p>},
	author = {L{\'o}pez-M{\'e}ndez, A. and Cristian Canton-Ferrer and Casas, J.}
}
