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Video Registration and Face Detection in An Automatic Multisensor Surveillance System

机译:自动多传感器监视系统中的视频配准和面部检测

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摘要

In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on the zero-order statistics is presented for the moving object segmentation. Additionally, we propose an iterative method for multisensor video registration based on the robust Hausdorff distance. An efficient face detection system is shown as an application that will have enhanced performance based on the registration and fusion of the information from the two sensors. Experimental results show the efficacy of the proposed system.
机译:在本文中,我们提出了一个由光学传感器和红外传感器组成的多传感器监视系统。在该系统中,提出了一种基于零阶统计量的背景减法方法。此外,我们提出了一种基于鲁棒Hausdorff距离的多传感器视频配准的迭代方法。高效的人脸检测系统被显示为一种应用程序,它将基于来自两个传感器的信息的注册和融合而具有增强的性能。实验结果表明了该系统的有效性。

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