Abstract
This paper presents a novel event recognition framework in video surveillance system, particularly for parking lot environment. An event is represented by feature vector that contains dynamic information and the contextual information of the motion trajectory is incorporated into the recognition process. Experimental results have demonstrated great accuracy of the proposed event recognition algorithm.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ng, L.L., Chua, H.S. (2012). Event Recognition in Parking Lot Surveillance System. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_89
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DOI: https://doi.org/10.1007/978-3-642-32695-0_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32694-3
Online ISBN: 978-3-642-32695-0
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