Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment

@inproceedings{Doan2015ProfilingPD,
  title={Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment},
  author={Minh Tuan Doan and Sutharshan Rajasegarar and Mahsa Salehi and Masud Moshtaghi and Christopher Leckie},
  booktitle={CIKM},
  year={2015}
}
Pedestrians movements have a major impact on the dynamics of cities and provide valuable guidance to city planners. In this paper we model the normal behaviours of pedestrian flows and detect anomalous events from pedestrian counting data of the City of Melbourne. Since the data spans an extended period, and pedestrian activities can change intermittently (e.g., activities in winter vs. summer), we applied an Ensemble Switching Model, which is a dynamic anomaly detection technique that can… CONTINUE READING