반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

지능형 자동차를 위한 비디오 기반의 교통 신호등 인식 시스템

A Video based Traffic Light Recognition System for Intelligent Vehicles

  • 추연호 (한국기술교육대학교 컴퓨터공학부) ;
  • 이복주 (한국기술교육대학교 컴퓨터공학부) ;
  • 최영규 (한국기술교육대학교 컴퓨터공학부)
  • Chu, Yeon Ho (Korea University of Technology and Education, School of Computer Science and Engineering) ;
  • Lee, Bok Joo (Korea University of Technology and Education, School of Computer Science and Engineering) ;
  • Choi, Young Kyu (Korea University of Technology and Education, School of Computer Science and Engineering)
  • 투고 : 2015.05.27
  • 심사 : 2015.06.22
  • 발행 : 2015.06.30
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초록

Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, we propose a robust and efficient algorithm for recognizing traffic lights from video sequences captured by a low cost off-the-shelf camera. Instead of using color information for recognizing traffic lights, a shape based approach is adopted. In learning and detection phase, Histogram of Oriented Gradients (HOG) feature is used and a cascade classifier based on Adaboost algorithm is adopted as the main classifier for locating traffic lights. To decide the color of the traffic light, a technique based on histogram analysis in HSV color space is utilized. Experimental results on several video sequences from typical urban environment prove the effectiveness of the proposed algorithm.

키워드

참고문헌

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