Motion Detection based on Multi Frame Video under Surveillance System

In this paper a series of algorithm has been formed to track the feature of motion detection under surveillance system. In this paper a pixel variant plays a vital role in detection of moving frame of a particular clip. If there is a little bit motion in a file then it is detected very easily by tracking pixel variance. This algorithm detects the zero variation only when there is no motion in a frame clip. It is simple and easier for motion detection in the fames of moving object having Avi file. In this paper we enhanced the efficiency of tracking the moving object by implementing pixel base displacement algorithm in the frame of object as the current and previous. There are different levels at which tracking can be performed. At the highest level, the whole body is tracked without paying attention to the details of the posture and limbs. At a lower level, the posture and limbs are tracked. At an even lower level, one or two parts of the body (such as hands) are tracked. The finest level would be tracking the fingers of a hand or facial features. Scope of this paper is deals with the highest level of tracking (tracking the Whole body as one unit). This paper answered the crucial question regarding the tracking of an object and suggests the requirement of surveillances in the terms of security and in high tech world. Our selection criteria are directly based on the definition of Motion detection and tracking algorithms which explains the experimental performance of motion detection in a frame generated by clip. This is usually analyzing the difference of two successive frames with the help pixel variant. The purpose of surveillance is to provide more information of moving object by tracking its motion in multi frames at any work places as banking, cinema hall, shopping mall, offices and structural work. From the experimental data we explain that the change in the pixel variant means that changes had occurred from the current frame to previous frame.