Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Automatic Detection of Vehicle Area Rectangle and Traffic Volume Measurement through Vehicle Sub-Shadow Accumulation

차량 그림자 누적을 통한 검지 영역 자동 설정 및 교통량 측정 방법

  • Kim, Jee-Wan (Department of Electronic Engineering, Korea National University of Transportation) ;
  • Lee, Jaesung (Department of Electronic Engineering, Korea National University of Transportation)
  • Received : 2014.04.22
  • Accepted : 2014.05.26
  • Published : 2014.08.31
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Abstract

There are various high-performance algorithms in the area of the existing VDSs (vehicle detection systems). However, they requires a large amount of computational time-complexity and their systems generally are very expensive and consumes high-power. This paper proposes real-time traffic information detection algorithm that can be applied to low-cost, low-power, and open development platform such as Android. This algorithm uses a vehicle's sub-shadow to set ROI(region of interest) and to count vehicles using a location of the sub-shadow and the vehicle. The proposed algorithm is able to count the vehicles per each roads and each directions separately. The experiment result show that the detection rate for going-up vehicles is 94.1% and that for going-down vehicles is 97.1%. These results are close to or surpasses 95%, the detection rate of commercial loop detectors.

기존 영상 검지기 분야에는 다양한 고성능 알고리즘들이 존재하지만 실시간 연산 요구량이 너무 많아 시스템 장비가 고가, 고전력을 소모하는 단점이 있었다. 이에 본 논문에서는 저가, 저전력 영상 검지 시스템 구현을 위해 안드로이드 플랫폼의 성능 사양에 적합한 저연산량의 영상 검지 알고리즘을 제안한다. 본 방법은 차량 하부에만 생성되는 sub-shadow 를 분리하여 이를 누적함으로써 차선 및 검지 영역을 정밀하게 설정하고 이 검지 영역을 통과하는 차량 자체와 차량 sub-shadow 의 통과패턴을 판단하여 차선별 교통량 뿐만 아니라 상행 및 하행 교통량까지 자동으로 분류할 수 있다. 실험 결과 제안하는 알고리즘은 하행 차량의 경우 평균 97.1%, 상행 차량의 경우 평균 94.1%의 검지율을 보였다. 이 결과는 상용 루프검지기의 성능 95% 에 버금가는 수준으로 만족스러운 성능을 보였다.

Keywords

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