Behavioral lEarning in Surveilled Areas with Feature Extraction
Rita Cucchiara, Andrea Prati, Simone Calderara, Roberto Vezzani · IRIS UNIMORE (University of Modena and Reggio Emilia) · 2007
The project aims at exploring how visual features can be automatically extracted from video using computer vision techniques and exploited by a classifier (generated by machine learning) to detect and identify suspicious people behavior in public places in real time. In this sense, CV and ML are jointly developed and studied to provide a better mix of innovative techniques.