Video-based detection of specific events in public transport networks

In recent years, image-processing solutions have been to automatically detect incidents and make measurements on video images from CCTV cameras, relieving the staff in control rooms of much of the difficulty in finding out where events that require attention are occurring. In this paper we illustrate some of the results obtained with on-site experiments carried out as part of projects funded by the European Commission and some additional experimentation carried out outside the project. We present here details on the systems, algorithms and their performance evaluation. Four different specific events in transport networks are described: abnormal stationarity, queuing, intrusion detection and loitering. Promising results are obtained from onsite experimentation. MOTS-CLÉS :