Detecting pedestrians intending to enter a crosswalk using a HMM tracker and a novel predictor
There is a demand for a more fluent and more efficient traffic. This can be achieved through more intelligent traffic light control. This thesis presents theory and an application in which people are tracked and their intentions to cross a crosswalk is predicted with a novel prediction algorithm based on Markov theory. The background segmentation and tracking algorithms was based on already known