A new motion detection algorithm based on Σ-Δ background estimation

Authors:
Antoine Manzanera;Julien C. Richefeu
Affiliations:
Ecole Nationale Supérieure de Techniques Avancées (ENSTA), Laboratoire d'Electronique de Informatique (LEI), 32 Boulevard Victor, Room No. 381, F-75739, Paris Cedex 15, France;Ecole Nationale Supérieure de Techniques Avancées (ENSTA), Laboratoire d'Electronique de Informatique (LEI), 32 Boulevard Victor, Room No. 381, F-75739, Paris Cedex 15, France
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

Motion detection using a stationary camera can be done by estimating the static scene (background). In that purpose, we propose a new method based on a simple recursive non linear operator, the @S-@D filter. Used along with a spatiotemporal regularization algorithm, it allows robust, computationally efficient and accurate motion detection. To deal with complex scenes containing a wide range of motion models with very different time constants, we propose a generalization of the basic model to multiple @S-@D estimation.