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Introduction of Real-Time Video Surveillance System Using UAV

机译:无人机实时视频监控系统介绍

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As the use of UAV (Unmanned Aerial Vehicle) such as drone has been increased recently, aerial video shooting technology and surveillance system began to attract global attention. The video surveillance system using an UAV requires high speed wireless transmission technology to obtain high resolution video images in real-time under poor on-air channel environment, accurate positioning trace technology to identify the actual position of the shooting area, and remote control technology for safe flight of an UAV. In this paper, solutions for two important technical issues that should be resolved and coupled in VSSU (Video Surveillance System using UAV) were suggested. One is a RTPA (Real-Time Position Analysis) method to estimate shooting location and area of an interesting zone. Another one is high-speed transmission method for wireless data-link to minimize distortion of valid images information even in poor wireless channel environment. The suggested high-speed transmission method provided same or higher transmission quality than existing wireless data-link transmission method, and more flexible data size to transmit both of mass video data and small control data. Also, the demanded performance of suggested methods was verified through simulation and actual realization. To analyze performance of the RTPA method, actual location and shooting area about shooting images were measured in three different locations by using Quad-copter. And then both location and shooting area of its predictability region were calculated based on GPS (Global Positioning System) information and camera status information by applying RTPA method. The result of this study can be applied to various surveillance applications.
机译:随着近来诸如无人机之类的无人机的使用增加,空中视频拍摄技术和监视系统开始引起全球关注。使用无人机的视频监控系统需要高速无线传输技术,以在恶劣的广播频道环境下实时获取高分辨率视频图像;精确的定位跟踪技术,以识别拍摄区域的实际位置;以及远程控制技术。无人机的安全飞行。本文针对VSSU(使用无人机的视频监控系统)中应解决并耦合的两个重要技术问题提出了解决方案。一种是RTPA(实时位置分析)方法,用于估计感兴趣区域的拍摄位置和区域。另一种是用于无线数据链路的高速传输方法,即使在恶劣的无线信道环境下,也可以最大程度地减少有效图像信息的失真。所提出的高速传输方法提供了与现有无线数据链路传输方法相同或更高的传输质量,并且数据大小更灵活,可以传输大量视频数据和小的控制数据。此外,通过仿真和实际实现,验证了所建议方法的性能要求。为了分析RTPA方法的性能,使用四轴飞行器在三个不同的位置测量了拍摄图像的实际位置和拍摄区域。然后利用RTPA方法,根据GPS(全球定位系统)信息和相机状态信息,计算出其可预测性区域的位置和拍摄区域。这项研究的结果可以应用于各种监视应用程序。

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