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.
Behavioral lEarning in Surveilled Areas with Feature Extraction / R., Cucchiara; Prati, Andrea; S., Calderara; R., Vezzani. - (2007).
Behavioral lEarning in Surveilled Areas with Feature Extraction
PRATI, Andrea;
2007-01-01
Abstract
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.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
