An Artificial Vision Based Method for Vehicle Detection and Classification in Urban Traffic

This paper proposes a system to analyze urban traffic through the using of artificial vision, in order to get reliable information about the traffic flow in cities with severe traffic jam, as in Bogota, Colombia. It was proposed a method efficient enough to be implemented in an embedded system, in order to process the images captured by a local camera and send the synthesized information to the cloud. This approach would allow spending fewer data transference, because it would not be necessary to send the video of each camera in the city via streaming, instead, each camera would send only the relevant traffic information. The system is able to calculate traffic flow, classified in motorbikes, buses, microbuses, minivans, sedans, SUVs and trucks.