首页|基于Haar-Like特征与增强AdaBoost室外停车场空车位检测研究

基于Haar-Like特征与增强AdaBoost室外停车场空车位检测研究

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智能停车具有广泛的应用场景,在具体实现过程中,需要通过计算机视觉方法检测停车场中的空车位.为了设计相应的智能检测方法,研究过程利用Haar-Like特征提取算法获取空车位的视觉特征,再运用增强AdaBoost模型进行数据分类,从而识别出空车位.经过性能实验,该算法模型在小场景中的识别准确率可达到96%以上,具有一定的应用前景.
Research on available parking space detection in outdoor parking lot based on Haar-Like feature and enhanced AdaBoost
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.

Haar-Like featureenhanced AdaBoost modeloutdoor empty parking space detection algorithm

夏宇航、韩朋锦、谭存辽

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新疆大学计算机科学与技术学院,乌鲁木齐 830046

Haar-Like特征 增强AdaBoost模型 室外空车位检测算法

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(21)