ARM9嵌入式平台上的图像监控管理系统的开发

The development of surveillance & administration system for bus passengers based on ARM9

描述一种基于AT91RM9200平台的嵌入式长途客车图像监控系统的设计方法,阐述了该系统的功能和硬件选型。介绍了该系统的软件设计,包括一种可应用于公共交通系统的人数识别方法,该方法将人数识别分三步进行:首先从图像中提取出肤色区域;然后结合人脸几何特征从肤色区域中排除非人脸区域;最后依据人脸区域块进行人数识别。该系统要求能自动识别车内乘客总数,最后给出的实验结果表明系统能较准确地统计出乘客数量。

Describes a method about design of embedded image monitor system used for bus based on AT91RM9200 platform, the functions and hardware were described also. Introduces the design of software of this system,including a method of counting people. The method takes three stages to compute the statistic of people： adjust the parameter of algorithm; extract the skin-color from the background; compute the statistic of people. The method can be used in public traffic system. This system aims to compute the statistic of passengers and the result of the experiment shows that the system is qualified.