A new motion detection algorithm based on Sigma-Delta background estimation
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 Sigma-Delta 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 Sigma-Delta estimation. (c) 2006 Elsevier B.V. All rights reserved.
motion detection background estimation recursive filtering