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Moving object segmentation based on statistical motion model

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2 Author(s)
Kyu-Won Lee ; ETRI, Taejon, South Korea ; Jinwoong Kim

An efficient algorithm for rigid or nonrigid moving object segmentation in the static camera environment is proposed. For robust motion detection, the algorithm performs statistical modelling of the moving objects and background and detects moving pixels by the Bayes decision method with a Gaussian blurred background probability density function

Published in:

Electronics Letters  (Volume:35 ,  Issue: 20 )