Abstract
One of the main characteristics of a video surveillance system is its reliability. To this end, it is needed that the images captured by the videocameras are an accurate representation of the scene. Unfortunately, some activities can make the proper operation of the cameras fail, distorting in some way the images which are going to be processed. When these activities are voluntary, they are usually called sabotage, which include partial o total occlusion of the lens, image defocus or change of the field of view.
In this paper, we will analyze the different kinds of sabotage that could be done to a video surveillance system, and some algorithms to detect these inconveniences will be developed. The experimental results show good performance in the detection of sabotage situations, while keeping a very low false alarm probability.
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Gil-Jiménez, P., López-Sastre, R., Siegmann, P., Acevedo-Rodríguez, J., Maldonado-Bascón, S. (2007). Automatic Control of Video Surveillance Camera Sabotage. In: Mira, J., Álvarez, J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73055-2_24
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DOI: https://doi.org/10.1007/978-3-540-73055-2_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73054-5
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