Abstract
In a video surveillance system, moving object detection is the most challenging problem especially if the system is applied to complex environments with variable lighting, dynamic and articulate scenes, etc. Furthermore, a video surveillance system is a real-time application, so discouraging the use of good, but computationally expensive, solutions. This paper presents a set of improvements of a basic background subtraction algorithm that are suitable for video surveillance applications. Besides we present a new performance evaluation scheme never used in the context of moving object detection algorithms.
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© 2005 Springer-Verlag Berlin Heidelberg
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Conte, D., Foggia, P., Petretta, M., Tufano, F., Vento, M. (2005). Meeting the Application Requirements of Intelligent Video Surveillance Systems in Moving Object Detection. 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_72
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DOI: https://doi.org/10.1007/11552499_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
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