Vehicle Recognition Algorithm Based on the Intelligent Detecting Parking Information
Abstract: The algorithm uses Edge Detection to calibrate intelligently coordinate information of parking spaces image information, then extracts the characteristics of automotive, trains classifiers and loads trained feature library. The paper aims at interested region of parking space to detect whether there is vehicle by feature matching, then judge whether the vehicle’s parked position is correct through comparing vehicle’s parking location and parking space coordinate information if vehicle exists. The results show that the algorithm is suitable for bright indoor carpark conditions, with a high recognition rate of vehicle and faster processing. The algorithm has the full intelligent features, and meets the real-time, accuracy, robustness requirements.
文章引用: 王景丹 , 黄园刚 , 郝宗波 , 江春华 (2013) 基于智能检测车位信息的车辆识别算法。 计算机科学与应用， 3， 96-101. doi: 10.12677/CSA.2013.32017
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