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A new motion detection algorithm based on Σ-Δ background estimation
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DOI：10.1016/j.patrec.2006.04.007.png)
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Abstract
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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.
Keywords:
motion detection
background estimation
recursive filtering
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