Adaptive moving object segmentation algorithms in cluttered environments

摘要

This article considers two algorithms which are designed for taking into consideration such events as the light changing in the video frame, the background micro-movements and occlusion of an object. These events determine the negative influences on the segmentation process, because they often arise in the eyeshot of surveillance cameras that are operated outdoors.