Study on Target Detection of Probability based on Pixels

Abstract

This paper introduces several commonly used methods of target detection, using the difference between several adjacent frame images before and after the image sequence to extract the time difference method of the motion area in the image, using the difference between the current frame image and the background image to detect the background subtracting method of the motion area. After comparing the advantages and disadvantages of various methods, this section presents an algorithm that combines the combination of Gauss model algorithm and background subtract, which assumes that the observations of a pixel in an image are independent of other pixels, and then determines the foreground and background based on the probability of pixels.