智能视频监控系统

Zhengya Xu, H. Wu
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引用次数: 19

摘要

本文提出了一种智能视频监控系统的新方法。提出的监控系统采用圆锥立体配置,设置一对静态摄像机,以支持突出地图来控制一个Pan-Tilt-Zoom(PTZ)摄像机/摄像机,该摄像机/摄像机捕获监视区域内有趣的移动物体的高清图像/视频,以供进一步的法医调查。该方法的另一个贡献是,使用静态相机组生成的3D信息来支持可靠的基于时空的图像分割和目标检测。在目标跟踪中,两幅连续图像的速度场计算基于对应的显著特征(点)。由于其较低的计算成本,有可能支持实时系统进行循环控制,以便进一步利用PTZ摄像机的信息来支持静态摄像机捕获的视频中的目标跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart video surveillance system
A new approach is proposed for a smart video surveillance system in this paper. The proposed surveillance system uses cononical stereo configuration to set up a pair of statical cameras to support a salient map to control a Pan-Tilt-Zoom(PTZ) camera/cameras, which captures high definition image /video of the interesting moving object in the surveillance area for further forensic investigations. The other contribution of the proposed approach is that, 3D information generated by the set of static cameras is used to support reliable spatial-temporal based image segmentation and object detection. For object tracking, velocity field computation from two consecutive images is based on correspondence salient feature (points). Due to its low computational cost, it is potential to support a real time system to make a loop control for further using the information from the PTZ camera to support the object tracking in video captured by the static cameras.
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