基于MATLAB的驾驶员眼睛快速定位算法的研究

来源 :2015第二届智能交通国际会议 | 被引量 : 0次 | 上传用户:baihe143
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
驾驶员眼睛的精确定位,对于驾驶员眼部特征的判断有着重要意义.本文提出了一种混合肤色模型、积分投影及Prewitt边缘检测相结合的驾驶员眼睛快速定位的算法,首先根据人的肤色特征建立了混合肤色模型确定人脸位置,以MATLAB为图像处理平台,通过垂直积分投影和模板设计确定人脸区域,然后通过水平积分投影和投影曲线优化确定的眼睛范围,利用Prewitt算子对人眼区域进行边缘检测和形态学处理进行眼睛精确定位,通过仿真实验证明了该算法能够很好的实现人眼快速定位.
其他文献
本文介绍了一种基于dSPACE仿真平台搭建的硬件在环仿真测试系统,用于实现对电池管理系统BMS功能策略、故障诊断以及网络交互式通信功能的测试验证.通过对电池模型的开发及参数化校验,结合dSPACE硬件仿真平台及Controldesk开发的上位机软件平台完成了测试系统的搭建.测试结果显示,被测BMS能够实现规定的控制策略,验证了该系统测试的可行性.
An anti-rear-end collision warning device based on the emergency braking behavior prediction was designed to reduce the occurrence of rear-end collision.Through analyzing drivers braking behaviors in
In urban road traffic system, an important issue with the expansion of the network, resulting in the increasing complexity of the network, in-depth analysis of complex network operating mechanism is t
In order to provide accurate and real time method for the calculation of saturation flow rate at signalized intersection, by the analysis of the motion law of traffic and the composition of the queue,
Multi-criterion feature ranking algorithms not only alleviates the difficulty on choosing appropriate ranking criterion caused by single-ranking algorithms, but also improves the reliability of featmr
Vehicle localization is the primary function in Intelligent Vehicles (IVs).Localization result is usually provided by the combination of GPS data and additional sensors, which are able to improve the
In this work, we consider the appointment scheduling problem for Chinas driver licenses exam with session capacity constraints.It is modelled as a maximum flow problem solved by Edmonds-Karp algorithm
会议
we design and construct ministerial, provincial and prefectural highway traffic safety active prevention and control platform to solve Chinas major problems of highway traffic management.Aggregation,
会议
随着城镇化推进,城市资源和生态环境压力增加,政府公共管理与大众需求间产生的智慧城市.智慧城市:在准备外出前,用手机登录"智能交通云"平台,可实时查询公交车到站信息、出租车位置信息、所在位置附近的车位信息以及实时路况等综合交通信息,跟"堵城"说再见.得益于智能交通、卫星导航系统融入通信网络中,天上的卫星、地面的接收站、车辆上的终端设备及人们手中的智能手机间形成信息交互.智慧城市的应用前景,为中国自主
For practical application, over-speed behavior of a vehicle is generally detected by the combination of the radar speedometer and the camera capture.Little information, just a single image of the vehi