@inproceedings{f615f74c3a81427581a5262a2311fca3,
title = "Σ-Δ Background subtraction and the Zipf law",
abstract = "The Σ-Δ 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 recursive methods: exponential smoothing, Gaussian estimation. We point out the relation between the Σ-Δ estimation and a probabilistic model: the Zipf law. A new algorithm is proposed for computing the background/foreground classification as the pixel-level part of a motion detection algorithm. Comparative results and computational advantages of the method are commented.",
keywords = "Background subtraction, Image processing, Motion detection, Vector data parallelism, Σ-Δ modulation",
author = "Antoine Manzanera",
year = "2007",
month = dec,
day = "1",
language = "English",
isbn = "9783540767244",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "42--51",
booktitle = "Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings",
note = "12th Iberoamerican Congress on Pattern Recognition, CIARP 2007 ; Conference date: 13-11-2007 Through 16-11-2007",
}