Bayesian.integration of a discrete choice pedestrian behavioral model and image correlation techniques for automatic multi object tracking
S. Venegas, Giovanni Antonini, Jean‐Philippe Thiran, M. Biedaire · 2005
In this paper we deal with the multiobject 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 provides appreciable results in real and complex scenarios.