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Network Video Image Processing for Security, Surveillance, and Situational Awareness

机译:用于安全,监视和态势意识的网络视频图像处理

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Lockheed Martin and the University of Central Florida (UCF) are jointly investigating the use of a network of COTS video cameras and computers for a variety of security and surveillance operations. The detection and tracking of humans as well as vehicles is of interest. The three main novel aspects of the work presented in this paper are ⅰ) the integration of automatic target detection and recognition techniques with tracking ⅱ) the handover and seamless tracking of objects across a network, and ⅲ) the development of real-time communication and messaging protocols using COTS networking components. The approach leverages the previously developed KNIGHT human detection and tracking system developed at UCF, and Lockheed Martin's automatic target detection and recognition (ATD/R) algorithms. The work presented in this paper builds on these capabilities for surveillance using stationary sensors, with the goal of subsequently addressing the problem of moving platforms.
机译:洛克希德马丁和佛罗里达州中部大学(UCF)正在联合调查使用COTS摄像机和计算机网络的使用,以获得各种安全和监视操作。人类以及车辆的检测和跟踪是感兴趣的。本文提出的工作的三个主要新颖方面是Ⅰ)自动目标检测和识别技术与跟踪Ⅱ)对网络的切换和无缝跟踪,Ⅲ)实时通信的开发消息传递协议使用COTS网络组件。该方法利用先前发达的骑士人类检测和跟踪系统在UCF开发,洛克希德马丁的自动目标检测和识别(ATD / R)算法。本文提出的工作建立了使用静止传感器监视的这些功能,其目的是随后解决移动平台的问题。

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