The count of vehicles is a key task in traffic gauging, as it provides information for designing new roads, and for the control and optimization of urban traffic. Nowadays in cities like Bogota, vehicle counting is done manually, but it can also be done automatically using computer vision techniques. This article presents the development of an algorithm for detecting and tracking vehicles in real time from video. The algorithm allows to count vehicles on the road and to estimate traffic volume or average speed.