A UAV vision system for airborne surveillance

被引：36

作者：

Kontitsis, M ^{[1
]}

Valavanis, KP ^{[1
]}

Tsourveloudis, N ^{[1
]}

机构：

[1] Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33620 USA

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS | 2004年

关键词：

machine vision; surveillance; UAV; genetic algoritms;

D O I：

10.1109/ROBOT.2004.1307132

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents a machine vision system for aerial surveillance that can interpret and process data acquired by a UAV on-board infrared camera. System components include noise reduction, feature extraction, classification and decision-making. Decision-making is performed in terms of an alarm signal. The system has been configured for automatic fire-detection applications where the alarm is set off in case of fire identification. Real time tests have been performed and the system has been tested producing sets of real images. Finally, a genetic algorithm was used to automatically define some of the system's parameters.

引用

页码：77 / 83

页数：7

共 7 条

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[7] Reducing the cost of multi-spectral remote sensing: combining near-infrared video imagery with colour aerial photography
Wright, GG
Matthews, KB
Cadell, WM
Milne, R
[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2003, 38 (03) : 175 - 198

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