Perimeter intrusion detection based on improved Surendra background update algorithm

An improved Surendra background update algorithm for moving targets detection is proposed in this paper, which is beneficial to the background update and can automatically change threshold. Firstly, the initial background frame can be obtained through the arithmetic average to the first few frame images. Secondly, The OTSU method is used for adaptive threshold selection to background updating, so that the moving objects can be obtained by morphological processing. Experiments show that the improved Surendra background updating algorithm can detect the moving targets effectively and overcome the original method's shortcoming which needs to manually intervene the threshold. The impact of such background disturbances and illumination changes to moving targets detection has a good inhibition.