Classification and Counting of Vehicles on Freeway Ramps

[[abstract]]For many decades, vehicles have been an essential part of modern life. As the number of vehicles increased, transportation problems have become more and more serious. Tasks of vehicle counting and classification systems for vehicle classification based on computer vision have attracted much attention. In most such systems, a camera is set above a lane of traffic and classifies vehicles according to their sizes. Setting cameras above road is difficult and expensive, and classifying the vehicles according to their sizes is challenging. In this paper, we propose a system based on computer vision for vehicle classification and counting under different kinds of environments, and is also very convenient to install. Unlike most systems, we set up the camera beside a road. There is little additional cost to set up the camera. Based on the profile of a vehicle’s shape, we classify it one of many categories, such as sedan, flatbed truck, van, delivery truck, sport utility vehicle, and trailer truck. However, our system, which can work in all kinds of weather and in a confined space, should prove to be easy to adopt.