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

doi:10.1117/12.912181

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Eighth Symposium Optics in Industry
DOIs	https://doi.org/10.1117/12.912181
State	Published - 2011
Externally published	Yes
Event	8th Symposium Optics in Industry - Toluca de Lerdo, Mexico Duration: 9 Sep 2011 → 10 Sep 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8287
ISSN (Print)	0277-786X

Conference

Conference	8th Symposium Optics in Industry
Country/Territory	Mexico
City	Toluca de Lerdo
Period	9/09/11 → 10/09/11

Keywords

Damage signal
Image acquisition
Mosaique image
Signal recognition
Traffic signal

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10.1117/12.912181

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Rico-Martinez, A. I., Camarillo-Paz, J. C., Ornelas-Rodriguez, F. J., Gonzalez-Barbosa, J. J., Cheng, Y. C. P., & Hurtado-Ramos, J. B. (2011). Traffic infrastructure inventory system by analysis image. In Eighth Symposium Optics in Industry Article 82870N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8287). https://doi.org/10.1117/12.912181

@inproceedings{ce6c8059c1144f9e9fd26ff50ed8888d,

title = "Traffic infrastructure inventory system by analysis image",

abstract = "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.",

keywords = "Damage signal, Image acquisition, Mosaique image, Signal recognition, Traffic signal",

author = "Rico-Martinez, {Aldo I.} and Camarillo-Paz, {J. C.} and Ornelas-Rodriguez, {F. J.} and Gonzalez-Barbosa, {Jos{\'e} Joel} and Cheng, {Yazm{\'i}n C.Pe{\~n}a} and Hurtado-Ramos, {Juan B.}",

year = "2011",

doi = "10.1117/12.912181",

language = "Ingl{\'e}s",

isbn = "9780819489340",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Eighth Symposium Optics in Industry",

note = "8th Symposium Optics in Industry ; Conference date: 09-09-2011 Through 10-09-2011",

}

Rico-Martinez, AI, Camarillo-Paz, JC, Ornelas-Rodriguez, FJ , Gonzalez-Barbosa, JJ, Cheng, YCP & Hurtado-Ramos, JB 2011, Traffic infrastructure inventory system by analysis image. in Eighth Symposium Optics in Industry., 82870N, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8287, 8th Symposium Optics in Industry, Toluca de Lerdo, Mexico, 9/09/11. https://doi.org/10.1117/12.912181

Traffic infrastructure inventory system by analysis image. / Rico-Martinez, Aldo I.; Camarillo-Paz, J. C.; Ornelas-Rodriguez, F. J. et al.
Eighth Symposium Optics in Industry. 2011. 82870N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8287).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Traffic infrastructure inventory system by analysis image

AU - Rico-Martinez, Aldo I.

AU - Camarillo-Paz, J. C.

AU - Ornelas-Rodriguez, F. J.

AU - Gonzalez-Barbosa, José Joel

AU - Cheng, Yazmín C.Peña

AU - Hurtado-Ramos, Juan B.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Damage signal

KW - Image acquisition

KW - Mosaique image

KW - Signal recognition

KW - Traffic signal

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U2 - 10.1117/12.912181

DO - 10.1117/12.912181

M3 - Contribución a la conferencia

AN - SCOPUS:82955175418

SN - 9780819489340

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Eighth Symposium Optics in Industry

T2 - 8th Symposium Optics in Industry

Y2 - 9 September 2011 through 10 September 2011

ER -

Traffic infrastructure inventory system by analysis image

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Keywords

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