In the field of event analysis, the detection of anomalous events has often been based on the creation of a model representing the most common patterns of activity detected withi...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...