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VISUALIZATION OF PREDICTED CROWD BEHAVIOR FOR SURVEILLANCE

机译:可视化预测的人群行为

摘要

Technologies are described for visualization of current and predicted crowd behavior information for surveillance. In surveillance systems, a variety of image capture devices and audio capture devices may be positioned strategically throughout a building or an area. The capture devices may transmit respective audio and video signals to a display device, such as a monitor in a surveillance control room, and to a signal processor for crowd behavior analysis. A signal processor, according to some examples, may- receive crowd characteristics for an -area, derive current crowd behavior information from the crowd characteristics, and predict crowd behavior information based on crowd characteristics, area characteristics, normalised crowd behavior information (from other areas), and/or external information. The signal processor may provide current and predicted crowd behavior information to a display device. The display device may overlay a corresponding video signal with a visualization of the current and predicted crowd behavior information.
机译:描述了用于可视化当前和预测的人群行为信息以进行监视的技术。在监视系统中,可以在整个建筑物或区域中策略性地放置各种图像捕获设备和音频捕获设备。捕获设备可以将相应的音频和视频信号传输到显示设备,例如监视控制室中的监视器,以及传输到信号处理器以进行人群行为分析。根据一些示例,信号处理器可以-接收区域的人群特征,从人群特征中导出当前人群行为信息,并且基于人群特征,区域特征,归一化人群行为信息(来自其他区域)来预测人群行为信息。 )和/或外部信息。信号处理器可以将当前和预测的人群行为信息提供给显示设备。显示设备可以用当前和预测的人群行为信息的可视化覆盖相应的视频信号。

著录项

  • 公开/公告号WO2019135751A1

    专利类型

  • 公开/公告日2019-07-11

    原文格式PDF

  • 申请/专利权人 XINOVA LLC;

    申请/专利号WO2018US12379

  • 发明设计人 JUNG YANG-WON;

    申请日2018-01-04

  • 分类号H04N7/18;

  • 国家 WO

  • 入库时间 2022-08-21 11:53:59

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