Onboard Vision System for Bus Lane Monitoring

Improving the mobility is one of the most important challenges the cities face. The coexistence of public and private vehicles sometimes force the city governments to designate reserved lanes for bus use only. However, not all the private drivers respect these reserved spaces and they use them. Therefore, it is necessary to provide a surveillance mechanism. This work presents a visual system devoted to perform automatic surveillance of a bus lane. This system proposal consists of a heuristic combination of filtered images of the road for the bus lane change detection. We show how to refine the strategy for reducing false positives as well as improving its computational performance. The resulting system is able to run in real time on an Intel Atom platform without the use of any programming optimization technique.