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| Format: | Artículo científico |
| Sprache: | en |
| Veröffentlicht: |
Instituto Politécnico Nacional
2009
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| Schlagworte: | |
| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=61519181007 |
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Inhaltsangabe:
- A Machine-Vision System to Detect Unusual Activities Online at Vehicular Intersections Sandra Luz Canchola Magdaleno Joaquín Salas Rodríguez Hugo Jiménez Hernández José Joel González Barbosa Juan B. Hurtado Ramos Computación real time systems Machine vision automatic surveillance unusual activity detection 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. 2009 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61519181007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.13