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.
© 2008 Optical Society of America
Original Manuscript: July 22, 2008
Manuscript Accepted: September 17, 2008
Published: October 28, 2008
Jean-François Boulanger, Frédéric Galland, Pascal Martin, and Philippe Réfrégier, "Stochastic complexity integral image based technique for fast video tracking," Opt. Lett. 33, 2521-2523 (2008)