Study on Detection Algorithm of Moving Housed-pig Targets Based on Back-ground Subtraction Method

Abstract

In this article, a pig detection algorithm based on self-adaptive background subtr action is presented, by applying the improved background subtraction algorithm to target detection of moving objects in the static background. The method of averaging the values of Multi-Frame images is used to avoid error detection object in background testing due to the moving objects appearing in the first frame. There will be a quick response after the dynamic changes of the background by using Surendra background updating algorithm to update the background. Experiment results showed that the algorithm is available and efficient, and can meet the requirements of dynamic update of background.