Optimal foreground detection methods For the video objects in Pixel domain

Abstract

Segmenting Foreground objects from a video sequence is a key newlineprocessing and critical step in video analysis such as object detection and newlinetracking Several Foreground detection techniques and edge detectors have newlinebeen developed until now But the problem is it is very difficult to obtain an newlineoptimal foreground due to the factors like weather light shadow and clutter newlineinterference Background subtract is used in many of the applications where newlinethe noise appears at fixed places and also when it is used for long image newlinesequence there may be much error accumulated in the foreground Optical newlineflow is the velocity field which warps one image into another usually very newlinesimilar image where the noise appears randomly It covers long distance and newlinethe noise due to brightness change is less which results in less accumulate newlineerror percentage However it cannot get rid of light influences which result in newlinebackground noises newlineA video surveillance system must be capable of continuous newlineoperation under various weather and illumination conditionsIt should be newlinecapable of dealing with movement through cluttered areasobjects newlineoverlapping in the visual fieldshadows lighting changes effects of moving newlineelements of the scene swaying trees slow moving objects and objects newlinebeing introduced or removed from the scene newline newline