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시각적 특징들을 이용한 도로 상의 후방 추종 차량 인식

On-Road Succeeding Vehicle Detection using Characteristic Visual Features

  • 샴 아디카리 (전북대학교 전자정보공학부) ;
  • 조휘택 (전남대학교 문화사회과학 대학원) ;
  • 유현중 (상명대학교 정보통신공학과) ;
  • 양창주 (전북대학교 전자정보공학부) ;
  • 김형석 (전북대학교 전자정보공학부)
  • 발행 : 2010.03.01

초록

A method for the detection of on-road succeeding vehicles using visual characteristic features like horizontal edges, shadow, symmetry and intensity is proposed. The proposed method uses the prominent horizontal edges along with the shadow under the vehicle to generate an initial estimate of the vehicle-road surface contact. Fast symmetry detection, utilizing the edge pixels, is then performed to detect the presence of vertically symmetric object, possibly vehicle, in the region above the initially estimated vehicle-road surface contact. A window defined by the horizontal and the vertical line obtained from above along with local perspective information provides a narrow region for the final search of the vehicle. A bounding box around the vehicle is extracted from the horizontal edges, symmetry histogram and a proposed squared difference of intensity measure. Experiments have been performed on natural traffic scenes obtained from a camera mounted on the side view mirror of a host vehicle demonstrate good and reliable performance of the proposed method.

키워드

참고문헌

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