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A new motion detection algorithm based on Sigma-Delta background estimation

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 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.
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https://hal.archives-ouvertes.fr/hal-01222650
Contributor : Antoine Manzanera <>
Submitted on : Friday, October 30, 2015 - 12:08:44 PM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
Long-term archiving on: : Friday, April 28, 2017 - 8:09:14 AM

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Antoine Manzanera, Julien Richefeu. A new motion detection algorithm based on Sigma-Delta background estimation. Pattern Recognition Letters, Elsevier, 2007, 28 (3), ⟨10.1016/j.patrec.2006.04.007⟩. ⟨hal-01222650⟩

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