the time and applications of video surveillance, PTZ camera works in the stationary style than PTZ operations. In case of stationary camera set up, we can place the camera in any of the different directions. Suppose a camera that is fixed in the side view allows a good view of a person making it attractive for recognition. But the object moving very close to the camera would result in complete occlusion of the other object. Compared to side view, the effect of occlusion can be reduced by setting the camera in elevated place. It will provide better appearance of pedestrians and vehicles flow. The camera would typically be elevated to more than 2.5 meters to get the clear view of humans. By using the top view setup the occlusion problem can be…show more content… Temporal differencing is quite simple and it has good performance in dynamic environments because it is very adaptive, but the problem is that it has a poor performance on extracting all relevant object pixels. In the absence of prior knowledge about target and environment, the most widely used approach for moving object segmentation with monocular fixed camera are based on background subtraction. Background subtraction method has better performance for extracting object information based on subtraction the background scenes from the foreground scenes. But it is very sensitive to dynamic changes in the background. When the camera is stationary, background subtraction method is more suitable for extracting the foreground object. The static background subtraction algorithm is not suitable when an illumination changes occur in the scene. Hence an adaptive background modeling scheme is implemented in the proposed system. An adaptive background subtraction method involves the creation of a background model and continuously updating it to avoid poor detection when there are changes in the