Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Detection of a Light Region Based on Intensity and Saturation and Traffic Light Discrimination by Model Verification

명도와 채도 기반의 점등영역 검출 및 모델 검증에 의한 교통신호등 판별

  • Kim, Min-Ki (Dept. of Computer Science, Gyeongsang National Univ. Engineering Research Institute)
  • Received : 2017.09.14
  • Accepted : 2017.11.03
  • Published : 2017.11.30
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Abstract

This paper describes a vision-based method that effectively recognize a traffic light. The method consists of two steps of traffic light detection and discrimination. Many related studies have used color information to detect traffic light, but color information is not robust to the varying illumination environment. This paper proposes a new method of traffic light detection based on intensity and saturation. When a traffic light is turned on, the light region usually shows values with high saturation and high intensity. However, when the light region is oversaturated, the region shows values of low saturation and high intensity. So this study proposes a method to be able to detect a traffic light under these conditions. After detecting a traffic light, it estimates the size of the body region including the traffic light and extracts the body region. The body region is compared with five models which represent specific traffic signals, then the region is discriminated as one of the five models or rejected as none of them. Experimental results show the performance of traffic light detection reporting the precision of 97.2%, the recall of 95.8%, and correct recognition rate of 94.3%. These results shows that the proposed method is effective.

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References

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