Publication

Bayesian Integration of a Discrete Choice Pedestrian Behavioral Model and Image Correlation Techniques for Automatic Multi Object Tracking

Michel Bierlaire, Jean-Philippe Thiran
2004
Conference Papers

Abstract

In this paper we deal with the multi-object tracking problem in the particular case of pedestrians, assuming the detection step already done. We use a Bayesian framework to combine the likelihood term provided by an image correlation algorithm with a prior distribution given by a discrete choice model for pedestrian behavior, calibrated on real data. We aim to show how the combination of the image information with a model of pedestrian behavior can provide appreciable results in real and complex scenarios.

Official source

https://infoscience.epfl.ch/entities/publication/4096d0cf-d66e-4feb-90db-ca4704aaf796

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Michel Bierlaire, Jean-Philippe Thiran
2004
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/4096d0cf-d66e-4feb-90db-ca4704aaf796

About this result

Related concepts (32)

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