METHOD FOR PROCESSING IMAGE

摘要

PURPOSE: An image processing method is provided to obtain a foreground probability value based on a foreground probability histogram about a correlation between a standard image of an input image and the input image, thereby improving the accuracy of separation and being robust in an environment such as the inside of an elevator. CONSTITUTION: Whether each pixel of an input image is a pixel of a foreground image or a pixel of a background image is determined by a Gaussian mixture model (S21). Whether each pixel is included in a motion area is determined (S22). With regard to each pixel, a foreground probability value is obtained based on a foreground probability histogram about a correlation between a standard image of the input image and the input image (S23). If the foreground probability value of a pixel of the examined foreground image or a pixel in the motion area is above a given threshold value, the pixel is determined as a pixel of the foreground image (S24). [Reference numerals] (AA) Start; (BB) No; (CC) Yes; (DD) End; (S21) Whether each pixel of an input image is a pixel of a foreground image or a pixel of a background image is determined by a Gaussian mixture model; (S22) Whether each pixel is included in a motion area is determined; (S23) With regard to each pixel, a foreground probability value is obtained based on a foreground probability histogram about a correlation between a standard image of the input image and the input image; (S24) If the foreground probability value of a pixel of the examined foreground image or a pixel in the motion area is above a given threshold value, the pixel is determined as a pixel of the foreground image; (S25) Standard image is updated; (S26) Is there an ending signal ?