Management of uncertainty in videosurveillance using fuzzy expert system

被引：0

作者：

Yosra, Najar ^{[1
]}

Raouf, Ketata ^{[2
]}

机构：

[1] Higher Inst Informat ISI, Dept Informat, Tunis, Tunisia

[2] Natl Inst Appl Sci & Technol INSAT, Dept Elect Engn, Tunis, Tunisia

来源：

WORLD CONGRESS ON COMPUTER & INFORMATION TECHNOLOGY (WCCIT 2013) | 2013年

关键词：

component; uncertainty; video surveillance; fuzzy expert system; decision making;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper investigates the use of fuzzy expert system to increase the effectiveness of alarm generation in video surveillance. Uncertainties in video surveillance are effecting measurement and camera captures. Consequently, decision making about alarm generation is also affected. Fuzzy inference system is proposed to take into account this problem and to decide about person recognition by calculating a certitude coefficient. An application of fuzzy expert system using KINEKET camera is developed to generate alarms.

引用

页数：5

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