Performance Analysis of Object Detection Using Modified Statistical Mean Method

Moving object detection is low-level, important task for any visual surveillance system. One of the aim of this project is to, to describe various approaches of moving object detection such as background subtraction, temporal difference. A statistical mean technique is used to overcome the problem in previous techniques. We propose a modified statistical mean technique with noise removing process that is computationally fast, by allowing the parallel processing. This proposed technique, overcome the drawbacks of traditional approach of moving object detection. The noise remove process removes the noise caused due to camera, reflectance noise and gives effective moving objects, as well as provides effective results in the change of light during the day and night, the model of background is changed. KeywordsMoving object detection, background subtraction, temporal differencing, and statistical mean method ——————————  ——————————