Por favor utiliza este link para citar o compartir este documento: http://repositoriodigital.academica.mx/jspui/handle/987654321/76730
Título: A Machine-Vision System to Detect Unusual Activities Online at Vehicular Intersections
Palabras clave: Machine vision
real-time systems
unusual activity detection
automatic surveillance
Fecha de publicación: 9-Jul-2012
Editorial: Computación y Sistemas
Descripción: In this article, we present a real-time machine-vision system to detect vehicles running on red light or performing forbidden turns at crossroads. The system operates during daytime by receiving video streams from two different sources. One of them is a camera viewing the crossroads to detect unusual activity, while a second camera watches the semaphore to keep synchrony with the traffic controller. The system performance and reliability have been tested on a real vehicular intersection during extended periods of time.
Other Identifiers: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462009000400007
Aparece en las Colecciones:Computación y Sistemas

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