Moving Object Tracking Using Kalman Filter

In this paper we described a method for moving object detection and tracking using Kalman filter. Basically, estimation process is very important in the surveillance system. This process is for finding out the location of the target. The decomposition is also helpful for the estimation process, in this process first step is the tracking the video, and then the video is converted into frames in the initialization period and every frame is made up of a piece of picture. In further step, the targets in each frame are identified by means of color recognition; next position is the moving target and to identify the center coordinates and next another last step the coordinate of the previous and current frames is inputted and find out the location of the moving target which is present frame. And this frame is estimated by filter. The tracking is very important for different object. The objects are tracked with the help of Kalman filter. This filter is used for the pixel wise subtraction of current frame. As well as also used to be find out the error between actual position of the ball and estimated position value with the help of this filter.