TY - GEN
T1 - Detection and recognition of Peruvian warning traffic signals applied to road inventories
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
AU - Ramos-Zúñiga, Marzia
AU - Flores-Gonzalez, Leonardo
AU - Valero-Camarena, Yeltsin
AU - Montenegro-Sono, Walter
AU - Vargas-Florez, Jorge
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The purpose of this research is to obtain a database of Peruvian warning traffic signs and propose a tool to automate the road inventory process using image processing algorithms. The database consists of 2026 images of Peruvian warning traffic signs, to detect and recognize them on Av. Eduardo Habich located in Metropolitan Lima, also proposed the following methodology that is divided into two parts: The first part consists of collecting da ta in the field for the creation of the database; and the second part consists of the processing of information in the cabinet, where the detection and recognition algorithm for information processing is proposed. The detection stage consists of the use of color and sha p e filters, as well as the performance of two-color models, HSV a nd normalized RGB, for the characteristic yellow color of warning signs. The recognition stage consists of the use of supervised classification tools with the algorithm called support vector machines. Finally, with the development of this research, it was possible to obtain an algorithm that allows the detection of tra ffic signs with a recognition percentage of 62.5% and a solid database that can be fed back and give rise to future research in the automation of traffic signals. road inventories.
AB - The purpose of this research is to obtain a database of Peruvian warning traffic signs and propose a tool to automate the road inventory process using image processing algorithms. The database consists of 2026 images of Peruvian warning traffic signs, to detect and recognize them on Av. Eduardo Habich located in Metropolitan Lima, also proposed the following methodology that is divided into two parts: The first part consists of collecting da ta in the field for the creation of the database; and the second part consists of the processing of information in the cabinet, where the detection and recognition algorithm for information processing is proposed. The detection stage consists of the use of color and sha p e filters, as well as the performance of two-color models, HSV a nd normalized RGB, for the characteristic yellow color of warning signs. The recognition stage consists of the use of supervised classification tools with the algorithm called support vector machines. Finally, with the development of this research, it was possible to obtain an algorithm that allows the detection of tra ffic signs with a recognition percentage of 62.5% and a solid database that can be fed back and give rise to future research in the automation of traffic signals. road inventories.
KW - Road inventory
KW - detection
KW - recognition
KW - signal Traffic
KW - visual computer
UR - http://www.scopus.com/inward/record.url?scp=85139990785&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2022.1.1.550
DO - 10.18687/LACCEI2022.1.1.550
M3 - Conference contribution
AN - SCOPUS:85139990785
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
PB - Latin American and Caribbean Consortium of Engineering Institutions
Y2 - 18 July 2022 through 22 July 2022
ER -