Modeling and classification of trajectories of moving objects
Nowadays, the increased demand of security is a particularly relevant need of our society. Therefore, systems able to automatically interpret interactions, both among people and between people and the environment, represent an actual domain of research, which still lack efficient solutions and open problems.
The crowd phenomenon has recently increasingly attracted the attention of worldwide researchers. Different implications related to crowd behavior analysis can be considered, since both technical and social aspect is still under researchers' investigation.
The main objective of the research activity is to study and develop novel signal processing techniques for automatic modeling and classification of trajectories of moving objects.
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