The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Design of a Real-time Algorithm for the Recognition of Speed Limit Signs Using DCT Coefficients

DCT 계수를 이용한 속도 제한 표지판 인식 실시간 알고리듬의 설계

  • 강병휘 (서강대학교 전자공학과 CAD & ES 연구실) ;
  • 조한민 (서강대학교 전자공학과 CAD & ES 연구실) ;
  • 김재영 (한국전자통신연구원) ;
  • 황선영 (서강대학교 전자공학과 CAD & ES 연구실) ;
  • 김광수 (서강대학교 서강미래기술연구원)
  • Received : 2010.10.08
  • Accepted : 2010.11.26
  • Published : 2010.12.31
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Abstract

This paper proposes a real-time algorithm of recognizing speed limit signs for intelligent vehicles. Contrary to previous works which use all the pixel values in the ROI (Region Of Interest) after preprocessing image at ROI and need a lot of operations, the proposed algorithm uses fewer DCT coefficients in the ROI as features of each image to reduce the number of operations. Choosing a portion of DCT coefficients which satisfy discriminant criteria for recognition, the proposed algorithm recognizes the speed limit signs using the information obtained in the selected features through LDA and MD. It selects one having the highest probability among the recognition results calculated by accumulating the classification results of consecutive individual frames. Experimental results show that the recognition rate for consecutive frames reaches to 100% with test images. When compared with the previous algorithm, the numbers of multiply and add operations are reduced by 58.6% and 38.3%, respectively.

본 논문은 지능형 자동차를 위한 속도 제한 표지판 실시간 인식 방법을 제안한다. 기존에는 전처리 과정을 거친 관심 영역에 대해 영역 전체의 픽셀 값을 특징으로 하여 연산량이 크나 제안된 방법은 연산량을 줄이기 위해 적은 개수의 DCT 계수를 이용하는 방법을 사용한다. 제안된 알고리듬은 인식의 판단 기준이 되는 DCT 계수를 선택하고 이를 선형판별법과 Mahalanobis Distance를 이용하여 단일 프레임의 속도 제한 표지판을 인식한다. 단일 프레임의 분류 결과를 연속된 프레임동안 누적하여 가장 높은 확률을 갖는 속도 제한 표지판을 선택한다. 실험 결과 테스트로 사용된 연속된 프레임에 대해서 100% 인식을 보이며 기존 대비, 곱셈 연산량은 58.6% 감소, 덧셈 연산량은 38.3% 감소하는 결과를 얻었다.

Keywords

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