Multiple view, multiple target tracking with principal axis-based data association

Authors:
F. Madrigal;Jean-Bernard Hayet
Affiliations:
Centro de Investig. en Mat. (CIMAT), Guanajuato, Mexico;Centro de Investig. en Mat. (CIMAT), Guanajuato, Mexico
Venue:
AVSS '11 Proceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance
Year:
2011

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Abstract

We present a novel method for multi-object tracking that tracks target both in the video streams and in a reference ground frame. This allows to remove ambiguities created by occlusions in one view. Our system takes as a base a recently proposed collaborative scheme and makes it handle multiple targets. We use a fast, simple solution for data association in the ground plane based on principal axis and a partly joint probabilistic model with MCMC sampling to ensure that tracked targets are kept separated whenever groups of targets appear. Results are presented on several popular databases of multi-camera, multi-target videos.