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Surveillance video based video foreground extraction method

机译:基于监控视频的视频前景提取方法

摘要

Disclosed in the present invention is a video foreground extraction method for a surveillance video, which adjusts a size of a block to adapt to different video resolutions based on an image block processing method; and then extracts a foreground object in a moving state by establishing a background block model, the method comprising: representing each frame of image I in the surveillance video as a block; initializing; updating a block background weight, a block temporary background and a temporary background; updating a block background and a background; saving a foreground, and updating a foreground block weight and a foreground block; and performing binarization processing on the foreground to obtain a final foreground result. The invention reduces the dimension of each frame of image in the surveillance video, eliminates the influence of the illumination on the block method by means of the pixel-based comparison, and meanwhile eliminates the influence on video analysis due to increasing size of the surveillance video. The invention can extract a dynamic foreground object, adapt to a larger size of a surveillance video, and has a lower algorithm complexity.
机译:本发明公开了一种监视视频的视频前景提取方法,其基于图像块处理方法,调整块的大小以适应不同的视频分辨率。然后,通过建立背景块模型,提取处于运动状态的前景物体,该方法包括:将监视视频中的图像I的每一帧表示为一个块;初始化更新块背景权重,块临时背景和临时背景;更新块背景和背景;保存前景,并更新前景块权重和前景块;对前景进行二值化处理,得到最终的前景结果。本发明减小了监视视频中每一帧图像的尺寸,通过基于像素的比较消除了照明对分块法的影响,同时消除了由于监视视频的尺寸增大而对视频分析的影响。 。本发明可以提取动态前景对象,适应较大尺寸的监控视频,算法复杂度较低。

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