Abstract
Detection and tracking of moving objects is very important in various ways. Concerning the detection of moving objects by stationary cameras, the background looks different as the illumination changes. In this paper, we consider a particular image in an image sequence as the sum of a reference image containing the background and a difference image containing the moving objects but not the background. We show that a reference image and difference images can be obtained as the independent components of input images by Independent Component Analysis. Moving objects can then be located on the reference image and the difference images. Experimental results show that the proposed approach produces accurate detection of moving objects even if illumination changes.
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Yamazaki, M., Xu, G., Chen, YW. (2006). Detection of Moving Objects by Independent Component Analysis. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_47
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DOI: https://doi.org/10.1007/11612704_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
Online ISBN: 978-3-540-32432-4
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