Monitoring speeds of vehicles on the road is of increasing importance, to avoid rash driving and prevent accidents from taking place. It is an interesting challenge to obtain the speed of vehicles as they swiftly pass on the road. In this study, an image of car is captured from a video in real time. These images are analyzed to find coordinates at different instances using normalized correlation between the input image and the template image of the vehicle. Lastly these coordinates are used to evaluate the centroids to determine the distance travelled and the speed. The study was conducted using footage database of different cars and roads for testing. The results obtained were with an accuracy of 99% when compared to the available CCTV database. © IAEME Publication.