In the scenario of Vehicle Tracking is the process of locating a moving object or multiple entities over time using a camera. It can be a time-consuming process due to the amount of data that is contained in video. Capture objects in video sequence of surveillance camera is nowadays a demanding application to improve tracking performance. The advanced technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects change over time. Thus, in this review, we discussed the several techniques attempted to site the available technique and various merits and demerits of it. In the present work we are detecting the moving object done by using simple background subtraction. For tracking of single moving object has been done using modified mean shift method and Kalman filter. Further result of both algorithms is compared on basis on time and accuracy.