A new motion detection algorithm based on Σ– Δ 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 Σ– Δ filter. Used along with a spatiotemporal regularization algorithm, it allows robust, computationally...

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Bibliographic Details
Published in:Pattern recognition letters 2007-02, Vol.28 (3), p.320-328
Main Authors: Manzanera, Antoine, Richefeu, Julien C.
Format: Article
Language:English
Subjects:
Applied sciences
Background estimation
Computer Science
Computer Vision and Pattern Recognition
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Image Processing
Information, signal and communications theory
Miscellaneous
Motion detection
Recursive filtering
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
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Summary: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 Σ– Δ 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 Σ– Δ estimation.
ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2006.04.007