The traffic light is one of the valuable devices to control the vehicular and pedestrian traffic. One of its main issues is that several traffic lights might be improperly calibrated because they do not consider the differences in pedestrian mobility from region to region. As each region presents different pedestrians with different characteristics, there is a need for automatic approaches. We propose a new approach to automatically adjust the pedestrian traffic light program to provide greater safety for pedestrians and to allow a better flow of the traffic. We deal with two challenging cases in the transportation engineering literature. The first case happens when pedestrians with reduced speed cannot cross the street within the available time. The second case happens when the traffic light for pedestrians remains open for a long time even when there are no pedestrians waiting to cross.
Best Work in Computer Vision / Image Processing in the Workshop of Undergraduate Works, SIBGRAPI 2014 – Conference on Graphics, Patterns and Images. Read more (pt-br).
Workshop of Undergraduate Works (WUW) in SIBGRAPI - Conference on Graphics, Patterns and Images, 2014, (1st place award).
In: X Workshop de Visão Computacional, pp. 1-6, 2014.