Traffic infrastructure inventory system by analysis image

Aldo I. Rico-Martinez, J. C. Camarillo-Paz, F. J. Ornelas-Rodriguez, José Joel Gonzalez-Barbosa, Yazmín C.Peña Cheng, Juan B. Hurtado-Ramos

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper describes a computer vision system designed to perform an inventory of traffic signals. The system consists of five Ethernet synchronized cameras; the acquisition strategy allows us to take one image per camera every other second. We then use those five images to generate a panoramic image each second. Signal detection and recognition is carried out offline. Detection of traffic signal is done in the panoramic image using the Hough transform and enhancement of HSV color space. Traffic signal recognition is made by a combination of Haar wavelet and violates Jones classifier. Finally, we present experimental results using a database of one hundred images.

Idioma originalInglés
Título de la publicación alojadaEighth Symposium Optics in Industry
DOI
EstadoPublicada - 2011
Publicado de forma externa
Evento8th Symposium Optics in Industry - Toluca de Lerdo, México
Duración: 9 sep 201110 sep 2011

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen8287
ISSN (versión impresa)0277-786X

Conferencia

Conferencia8th Symposium Optics in Industry
País/TerritorioMéxico
CiudadToluca de Lerdo
Período9/09/1110/09/11

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