A multi-observation hierarchical dynamic Bayesian network for video behavior analysis
Xiaoyan Zhang · Journal of Circuits and Systems · 2012
A multi-observation hierarchical dynamic Bayesian network is present to analyze the behaviors of human and vehicle for video surveillance.First,the behaviors of human and vehicle are represented by static,active and related features.Then the model is built to detect and analyze behaviors and their relationships,which inputs are behavior representations.At the same time,in order to decrease the complexity,a simple model selection is designed.Experiments show that the proposed framework could efficiently analyze behaviors for video surveillance.