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An Efficient Vehicle Parking Detection Method Using Image Segmentation  

남기환 (관동대학교)
배철수 (관동대학교)
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.
Keywords
parking detection; image segmentation;
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