Abstract
Surveillance systems that automatically detect illegal behaviors performed by unaware people have a wide range of applications: security, healthcare, conservation of cultural heritage and so on. In particular monitoring public areas such as museums and archaeological sites is a challenging problem that has to be solved in order to avoid irreparable damages to historical heritage. In this paper a system able to check by common digital RGB cameras unexpected accesses to forbidden areas in a public museum is presented. The reliability of the proposed framework is shown by large experimental tests performed in the Messapic Museum of Egnathia (Italy) .
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Leo, M., D’Orazio, T., Caroppo, A., Martiriggiano, T., Spagnolo, P. (2005). Automatic Monitoring of Forbidden Areas to Prevent Illegal Accesses. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_70
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DOI: https://doi.org/10.1007/11552499_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
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