Abstract
The background subtraction is a technique widely used for video analysis, mainly moving object detection for surveillance systems. Such algorithms must be robust, fast and it has to be able to deal with dynamic backgrounds like water surface or moving tree branches. Also, they should be able to deal with illumination changes and objects casted shadows. Generally, in computer vision the algorithms with a physical background have the best performance. We propose an algorithm for background subtraction based on a model of layered RC circuits. We tested our method on video sequences acquired from level crossing and on commonly used datasets. Finally, we have compared the proposed method with other frequently used methods.
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Mozdřeň, K., Sojka, E., Fusek, R., Šurkala, M. (2013). Layered RC Circuit Model for Background Subtraction. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, vol 8034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41939-3_20
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DOI: https://doi.org/10.1007/978-3-642-41939-3_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41938-6
Online ISBN: 978-3-642-41939-3
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