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; A. Prati; S. Calderara; R. Vezzani. - (2007).

Behavioral lEarning in Surveilled Areas with Feature Extraction

PRATI, Andrea;
2007

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.
Behavioral lEarning in Surveilled Areas with Feature Extraction / R. Cucchiara; A. Prati; S. Calderara; R. Vezzani. - (2007).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2809344
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