Intelligent parking has a wide range of application scenarios.In the specific implementation process,it is necessary to detect the empty parking space in the parking lot through the computer vision method.In order to design the corresponding intel-ligent detection method,the research process uses the Haar-Like feature extraction algorithm to obtain the visual features of the empty space,and then uses the enhanced AdaBoost model for data classification,so as to identify the empty space.After the perfor-mance experiment,the recognition accuracy of the algorithm model in small scenes can reach more than 96%,which has a certain application prospect.
关键词
Haar-Like特征/增强AdaBoost模型/室外空车位检测算法
Key words
Haar-Like feature/enhanced AdaBoost model/outdoor empty parking space detection algorithm
万方数据