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Security applications of computer vision

机译：计算机视觉的安全应用

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In an age which bears witness to a proliferation of Closed Circuit Television (CCTV) cameras for security and surveillance monitoring, the use of image processing and computer vision techniques which were provided as top end bespoke solutions can now be realised using desktop PC processing. Commercial Video Motion Detection (VMD) and Intelligent Scene Monitoring (ISM) systems are becoming increasingly sophisticated, aided, in no small way, by a technology transfer from previously exclusively military research sectors. Image processing is traditionally concerned with pre-processing operations such as Fourier filtering, edge detection and morphological operations. Computer vision extends the image processing paradigm to include understanding of scene content, tracking and object classification. Examples of computer vision applications include Automatic Number Plate Recognition (ANPR), people and vehicle tracking, crowd analysis and model based vision. Often image processing and computer vision techniques are developed with highly specific applications in mind and the goal of a more global understanding computer vision system remains, at least for now, outside the bounds of present technology. This paper will review some of the most recent developments in computer vision and image processing for challenging outdoor perimeter security applications. It also describes the efforts of development teams to integrate some of these advanced ideas into coherent prototype development systems.
机译：在见证用于安全和监视监视的闭路电视（CCTV）摄像机激增的时代，现在可以使用台式PC处理来实现作为高端定制解决方案提供的图像处理和计算机视觉技术的使用。商业视频运动检测（VMD）和智能场景监视（ISM）系统正变得越来越复杂，并得到了以前专门用于军事研究领域的技术转移的大力支持。传统上，图像处理与诸如傅立叶滤波，边缘检测和形态学运算之类的预处理操作有关。计算机视觉扩展了图像处理范式，包括对场景内容的了解，跟踪和对象分类。计算机视觉应用的示例包括自动车牌识别（ANPR），人员和车辆跟踪，人群分析以及基于模型的视觉。通常，在开发图像处理和计算机视觉技术时会考虑到高度特定的应用，并且至少到目前为止，使计算机视觉系统具有更全面的了解的目标仍在当前技术的范围之外。本文将回顾一些具有挑战性的户外周边安全应用的计算机视觉和图像处理方面的最新进展。它还描述了开发团队将这些高级思想中的一些集成到一致的原型开发系统中的工作。

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