Earticle

초록

영어

This paper presents a recognition algorithm combining the vehicle detection and the color difference of RGB color space to recognize the brake-lights state of moving vehicles in order to achieve the intelligent-car’s rear-end collision warning about the vehicle in front of it. Firstly, we train and build AdaBoost cascade classifier by haar features samples and scaling sub-windows are used to detect the target vehicle from the region of interest of the resized image. Then we compare the adjacent frames to recognize brake light status, which including using color, shape, structural features to identify the third brake light; comparing the center of gravity coordinates and the color difference threshold to rear brake lights when vehicles are not red or yellow; according to subtraction of each RGB corresponding channel, binarization, and the color difference threshold of RGB color space to identify the red or yellow vehicles’ brake lights. Finally, experiments show that the algorithm can detect the front vehicle’s braking quickly and accurately.

목차

Abstract
 1. Introduction
 2. Related Works
 3. The Proposed Method
  3.1. Vehicle Detection
  3.2. Brake Lights Recognition
 4. Outputs of Brake Lights Status
 5. Results and Discussion
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Wei Liu [ Information College of Beijing Union University, 100101, Beijing, China ]
• Hong Bao [ Information College of Beijing Union University, 100101, Beijing, China, Beijing Key Laboratory of Information Service Engineering, 100101, Beijing, China ] corresponding author
• Jun Zhang [ Management Sciences College of Chengdu University of Technology, 610052, Chengdu, China ]
• Cheng Xu [ Beijing Key Laboratory of Information Service Engineering, 100101, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605