Video registration and face detection in an automatic multisensor surveillance system

被引：2

作者：

Ye, G ^{[1
]}

Wei, J ^{[1
]}

Pickering, MR ^{[1
]}

Frater, MR ^{[1
]}

Arnold, JF ^{[1
]}

机构：

[1] Univ New S Wales, Univ Coll, Australian Def Force Acad, Sch Elect Engn, Canberra, ACT, Australia

来源：

MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2003 | 2003年 / 5099卷

关键词：

multisensor surveillance; multisensor video registration; hausdorff distance; face detection;

D O I：

10.1117/12.485862

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：232 / 240

页数：9

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