Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Traffic Signal Detection and Recognition Using a Color Segmentation in a HSI Color Model

HSI 색상 모델에서 색상 분할을 이용한 교통 신호등 검출과 인식

  • Jung, Min Chul (Dept. of Electronic Engineering, Sangmyung University)
  • 정민철 (상명대학교 공과대학 전자공학과)
  • Received : 2022.11.24
  • Accepted : 2022.12.15
  • Published : 2022.12.31
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Abstract

This paper proposes a new method of the traffic signal detection and the recognition in an HSI color model. The proposed method firstly converts a ROI image in the RGB model to in the HSI model to segment the color of a traffic signal. Secondly, the segmented colors are dilated by the morphological processing to connect the traffic signal light and the signal light case and finally, it extracts the traffic signal light and the case by the aspect ratio using the connected component analysis. The extracted components show the detection and the recognition of the traffic signal lights. The proposed method is implemented using C language in Raspberry Pi 4 system with a camera module for a real-time image processing. The system was fixedly installed in a moving vehicle, and it recorded a video like a vehicle black box. Each frame of the recorded video was extracted, and then the proposed method was tested. The results show that the proposed method is successful for the detection and the recognition of traffic signals.

Keywords

Acknowledgement

본 연구는 2021년도 상명대학교 교내연구비를 지원받아 수행하였습니다.

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