Abstract
The motion detection in video is considered. We break non-binary motion mask on blocks and calculate a certain statistics for each block. Then we use prior information about statistics distribution to classify blocks on background and foreground. The estimation framework for classification confidence is presented.
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Matsypaev, D.A., Bronevich, A.G. (2013). The Fuzzy Parametrized Model for Classifying Blocks in the Non-binary Motion Mask. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_77
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DOI: https://doi.org/10.1007/978-3-642-45062-4_77
Publisher Name: Springer, Berlin, Heidelberg
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