【摘要】 以停车场监控视频作为车位检测算法的研究对象,该算法首先通过离线检测获取在不同环境下的车位背景相关的特征信息。接着提取出当前单车位区域作为感兴趣区(ROI),然后分别对其进行3种车位算法检测。该算法运行在ARM+DSP异构双核处理器DM3730平台和嵌入式Linux操作系统下,借用OpenCV中的图像处理函数和DSP运算进行图像处理,并将结果保存到嵌入式数据库中,实现了基于B/S网络模型的多车位检测。测试表明,用户只需通过浏览器访问该系统,就可以获得当前车位的占用情况,能够满足高实时性、高准确性的要求。更多还原

【Abstract】 In this paper,we treat the parking lot surveillance video as the research object of parking space detection algorithm.Firstly,the algorithm obtained the feature information of the related parking spaces through off-line testing in different environment background.Secondly,a single parking area is extracted as the region of interest(ROI).It is used three kinds of parking space detection algorithm to them respectively.The algorithm running on ARM + DSP heterogeneous dual-core processor DM3730 platform and embedded Linux operating system.Both OpenCV image processing function and DSP algorithms for image processing are used that the results can be saved to the embedded database,then more parking space detection based on B/S network model could be realized.Test results show that each user may use the browser to access the system,and get the information about the current parking space occupancy,which can satisfy the requirement of high real-time performance and high accuracy.更多还原