PARKING LOT MANAGEMENT METHOD BASED ON LEARNING USING SAMPLE ELIMINATION METHOD

摘要

PURPOSE: A parking surface recognizing method based on the education of a sample eliminating method is provided to enable a user to effectively manage a parking surface within a parking lot by periodically updating data. CONSTITUTION: An adaboost learning theory is applied at a sample image related to a parking surface(S100). A strong classification apparatus is used for plural stages using a cascade type and eliminates a negative sample image(S200). The adaboost learning theory is applied at an input image using a weak classification apparatus and a predetermined weight(S300). A single positive area is recognized as a vehicle based on the overlapping rate of the detected positive area(S400).