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Communication Dans Un Congrès Année : 2007

Σ-Δ Background Subtraction and the Zipf Law

Résumé

The Σ-∆ background estimation is a simple non linear method of background subtraction based on comparison and elementary increment/decrement. We propose here some elements of justification of this method with respect to statistical estimation, compared to other re-cursive methods: exponential smoothing, Gaussian estimation. We point out the relation between the Σ-∆ estimation and a probabilistic model: the Zipf law. A new algorithm is proposed for computing the back-ground/foreground classification as the pixel-level part of a motion detection algorithm. Comparative results and computational advantages of the method are commented.
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Dates et versions

hal-01222660 , version 1 (30-10-2015)

Identifiants

Citer

Antoine Manzanera. Σ-Δ Background Subtraction and the Zipf Law. Progress in Pattern Recognition, Image Analysis and Applications (CIARP'07), Nov 2007, Viña del Mar-Valparaíso, Chile. ⟨10.1007/978-3-540-76725-1_5⟩. ⟨hal-01222660⟩

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