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Video Motion Detection and Tracking for Surveillance Applications.

机译:监视应用的视频运动检测和跟踪。

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摘要

These days, video surveillance is an important security asset to control theft, trespassing or traffic monitoring for any physical systems, whether personal or commercial. Implementing a surveillance system can allow people to get an idea of what is going on without the physical need to be there. In the classical video surveillance installations, there is a need for a human operator to consistently watch the video feed to see if there is any interesting activity. An intelligent, computer vision-based motion detector eliminates the need for constant surveillance by an operator by notifying an interested party that there is relevant motion in the area being monitored.;Pan tilt zoom (PTZ) cameras can be used to track an object of interest moving throughout a scene. However, in classic systems, this again would require the operator to manually move the PTZ camera to get the subject in scope. The goal of this work is to eliminate the operator from controlling the system. With the proposed automated tracking approach, an object found in a scene can be tracked automatically and followed until the target is out of camera scope.
机译:如今,视频监视已成为控制任何物理系统(无论是个人系统还是商用系统)的盗窃,侵入或流量监控的重要安全资产。实施监视系统可以使人们了解发生了什么,而无需实际需要。在传统的视频监视装置中,需要操作人员持续观看视频源,以查看是否有任何有趣的活动。智能的基于计算机视觉的运动检测器通过通知感兴趣的一方在被监视的区域中存在相关的运动,从而消除了操作员进行持续监视的需要.Pan倾斜变焦(PTZ)摄像机可用于跟踪目标物体。兴趣贯穿整个场景。但是,在经典系统中,这又将需要操作员手动移动PTZ摄像机以使被摄体进入范围。这项工作的目的是消除操作员控制系统的麻烦。使用建议的自动跟踪方法,可以自动跟踪场景中找到的对象,然后跟踪该对象,直到目标超出摄影机范围。

著录项

  • 作者

    Quevillon, Joey.;

  • 作者单位

    University of Victoria (Canada).;

  • 授予单位 University of Victoria (Canada).;
  • 学科 Computer Science.;Engineering Electronics and Electrical.;Artificial Intelligence.
  • 学位 M.A.Sc.
  • 年度 2012
  • 页码 75 p.
  • 总页数 75
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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