Intelligent segmentation method of video image target
A video image and object technology, applied in the field of intelligent segmentation of video image objects, can solve problems such as many moving objects, complex background components, and difficult video object segmentation algorithms
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[0096] An intelligent segmentation method for video image targets, which uses a background model establishment phase and a foreground detection phase alternately, such as figure 1 As shown, a new color space distance measurement and a new quasi-periodical dynamic background processing method are used in the YUV color space, and the maximum continuous unmatched time length parameter is used in the modeling stage to effectively distinguish the foreground from the background. This method It includes the following steps:
[0097] Step 1: Set the frame rate of the surveillance video to fFPS, and the frame number is n, T 1 And T 2 It is the period of the background model establishment stage and the foreground detection stage respectively, when 1≤n≤T 1 f, the establishment stage for establishing the background model; when T 1 f≤n≤(T 1 +T 2 ) When f is the foreground detection stage.
[0098] Step 2: Pixel x n =(R,G,B) pixel value is converted from RGB color space to YUV color space to obt...
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