title: Stochastic complexity integral image based technique for fast video tracking.
abstract: We propose a new method based on the minimization of the stochastic complexity for fast and efficient tracking adapted to video images with a static camera. The obtained criterion combines the advantages of background-subtraction-based techniques and those of using measures of similarities to a target model without requiring any tuning of a weighting parameter. It is then demonstrated that this approach can be implemented with a fast integral image technique to estimate the location and the rectangular shape of the target in a few milliseconds.
authors.affiliation: Institut Fresnel, Aix-Marseille Université, Ecole Centrale Marseille, CNRS, Marseille, France.
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Boulanger
authors.forename: Frédéric
authors.initials: F
authors.lastname: Galland
authors.forename: Pascal
authors.initials: P
authors.lastname: Martin
authors.forename: Philippe
authors.initials: P
authors.lastname: Réfrégier