콘텐츠 본문
논문 국내 국내전문학술지(KCI급) Template Mask based Parking Car Slots Detection in Aerial Images
- 학술지 구분 국내전문학술지(KCI급)
- 게재년월 2022-12
- 저자명 Andri Agustav Wirabudi, Heeji Han, Junho Bang, and Haechul Choi
- 학술지명 방송미디어공학회논문지
- 발행처명 방송미디어공학회
- 발행국가 국내
- 논문언어 외국어
논문 초록 (Abstract)
The increase in vehicle purchases worldwide is having a very significant impact on the availability of parking spaces. In particular, since it is difficult to secure a parking space in an urban area, it may be of great help to the driver to check vehicle parking information in advance. However, the current parking lot information is still operated semi-manually, such as notifications. Therefore, in this study, we propose a system for detecting a parking space using a relatively simple image processing method based on an image taken from the sky and evaluate its performance. The proposed method first converts the captured RGB image into a black-and-white binary image. This is to simplify the calculation for detection using discrete information. Next, a morphological operation is applied to increase the clarity of the binary image, and a template mask in the form of a bounding box indicating a parking space is applied to check the parking state. Twelve image samples and 2181 total of test, were used for the experiment, and a threshold of 40% was used to detect each parking space. The experimental results showed that information on the availability of parking spaces for parking users was provided with an accuracy of 95%. Although the number of experimental images is somewhat insufficient to address the generality of accuracy, it is possible to confirm the possibility of parking space detection with a simple image processing method.
