Abstract
Separating moving objects from the background is considered a challenge in the video analysis field, especially in dynamic scenes. Most of the background subtraction methods require a threshold to extract the foreground from video sequences; Therefore, the choice of optimal threshold is a difficult task, which leads to false classification of background or foreground pixels. So, to exceed this limit we will use the performance of Mean Shift segmentation to detect moving objects, and enhance this detection based on texture information using Local Binary Pattern method.
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