Abstract
Camera dysfunction detection algorithms and their utilization in realtime video surveillance systems are described. The purpose of using the proposed analysis is explained. Regarding image tampering three algorithms for focus loss, scene obstruction and camera displacement detection are implemented and presented. Features of each module are described and certain scenarios for best performance are depicted. Implemented solutions are evaluated as independent events and final results are discussed. A detection efficiency improvement method is proposed.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ellwart, D., Szczuko, P., Czyżewski, A. (2012). Camera Sabotage Detection for Surveillance Systems. In: Bouvry, P., Kłopotek, M.A., Leprévost, F., Marciniak, M., Mykowiecka, A., Rybiński, H. (eds) Security and Intelligent Information Systems. SIIS 2011. Lecture Notes in Computer Science, vol 7053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25261-7_4
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DOI: https://doi.org/10.1007/978-3-642-25261-7_4
Publisher Name: Springer, Berlin, Heidelberg
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