We present a probabilistic model of pedestrian behavior at signalized intersections.
The proposed model is constructed using the Dynamic Bayesian Network.
Context information and pedestrian behavior are integrated in the model.
The model recognizes pedestrian crossing intention with high accuracy in short time.