Background Subtraction with Background Modeling for Visual Surveillance Applications
نویسندگان
چکیده
This work adopts background subtraction to develop automatic extraction of moving objects in video surveillance. Pixels at a specific position of continuous image frames are manipulated by the modified iterative threshold selection technique to determine the background gray-level value. Pixels at all positions employ such an iterative technique to establish the background that is then analyzed and modified by using the relationship of neighboring pixels to avoid inconsistent classification. The original image is subtracted by this background to obtain a difference image. The robust edge-following method processes this difference image to yield the closed-form objects that are then conducted by the morphological operation to obtain complete objects. As compared to the conventional methods, the proposed method is demonstrated to have the best performance of moving object extraction in video sequences.
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