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

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지

An Efficient Vehicle Parking Detection Method Using Image Segmentation

영상분할을 이용한 효율적인 주차검출

  • Published : 2004.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

A method of individual vehicle detection using gray scale image acquired from a high position is proposed for guidance of incoming vehicles to vacant cells in a parking lot and other similar purposes. With the proposed method, each image region corresponding to a cell is fragmented according to density(gray level), and the distribution of segment area is analyzed to decide if a vehicle is present. The proposed method was tested on an actual outdoor parking lot during 2 days with different weather conditions from sunrise through sunset.

그레이 스케일 이미지를 이용한 차량 감지 방법은 주차장에서 빈 공간으로 진입하는 차량의 안내나 기타 유사한 목적들을 위해 제안되고 있다. 본 논문은 그레이레벨 이미지를 이용하여 주차여부를 확인하고, 주차공간을 분석하는 방법을 제안한다. 실험결과로써 각기 2일 동안 새벽부터 해질녘까지 야외 주차장을 이용하여 획득한 129개의 영상을 이용하여 실험한 결과 98.7％의 성공률을 나타내었다.

Keywords

References

  1. Koizumi M, Koyama S. 'Parking lot monito-hng system based on image processing in Tomei Expressway', Kosokudoroto Jidosha 1992;35:32-40
  2. Takahashi Y et al. 'Image recognition tech-nology for automation of parking lot management', NTT R&D 1992;41:493-500.
  3. Maeda E et al. 'Object detection method with robustness to environmental changes', Trans IEICE 1991;J74-D-II:1731-1740
  4. Maeda E, Ishii K. 'Evaluation of prindpal component feature characteristics in object detection', Trans IEICE 1991;J75-D-II:520-529
  5. Mizukoshi N et al. 'Parking condition discrimination system of image processing type using a neural network model', IEEE Vehicle Navigation & Information Systems Conf, p 69-74, 1994
  6. Miyake M et al. 'Nighttime detection of vehicles in parking lot using image processing' Road Traffic Committee of IEE Japan, RTA-91-23, 1991
  7. Hasegawa T et al. Counting cars by tracking moving objects in outdoor parkinglot. IEEE Vehicle Navigation and Information Systems Conf, p 63-68, 1994
  8. Sakaida, Shinichi, Naemura, Masahide, Kanatsugu, 'Moving object extracdon using background difference and region growing with a spatio- temporal watershed algorithm' Systems and computers in Japan, v.33 no.12/ p 11-26, 2002 https://doi.org/10.1002/scj.10237
  9. Betke, Margrit, Hahtaoglu, Esin, Davis, Larry S. 'Real-time multiple vehicle detection and tracking from a moving vehicle', Machine vision and applications, v.12 no.2, pp.69-83, 2000 https://doi.org/10.1007/s001380050126