Abstract
This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background scene for video surveillance. In this paper, we propose a novel background modeling approach by using the phase space trajectory to represent the change of intensity over time for each pixel. If the intensity of a pixel which originally belongs to the background deviates from the original trajectory in phase space, then it is considered a foreground object pixel. In this manner, we are able to separate the foreground object from the background scene easily. The experimental results show the feasibility of the proposed background model.
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© 2004 Springer-Verlag Berlin Heidelberg
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Liang, YM., Shih, A.CC., Tyan, HR., Liao, HY.M. (2004). Background Modeling Using Phase Space for Day and Night Video Surveillance Systems. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_26
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DOI: https://doi.org/10.1007/978-3-540-30541-5_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23974-1
Online ISBN: 978-3-540-30541-5
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