Method for estimation of Background and Foreground segmentation in video surveillance
作者： David Alejandro , Díaz Gonzáles , Freddy Alexander , Arévalo Suárez
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摘要: The video surveillance systems are widely used today, but it is essential to implement that automatically analyze the information captured, with objective of identifying regular events may occur in scene. This work focuses on estimation background and foreground segmentation a video. main contribution median filter applied recursively temporary popup window, which provides more robustness against noise caused by illumination changes vibrations camera, this without increasing computational cost.
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