Title :
Management of uncertainty in video-surveillance using fuzzy expert system
Author :
Yosra, Najar ; Raouf, Ketata
Author_Institution :
Dept. of Inf., Higher Inst. of Inf. (ISI), Tunis, Tunisia
Abstract :
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.
Keywords :
alarm systems; cameras; expert systems; fuzzy reasoning; video surveillance; KINEKET camera; alarm generation; fuzzy expert system; fuzzy inference system; video surveillance; Cameras; Expert systems; Fuzzy logic; Sensors; Uncertainty; Video surveillance; decision making; fuzzy expert system; uncertainty; video surveillance;
Conference_Titel :
Computer and Information Technology (WCCIT), 2013 World Congress on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-0460-0
DOI :
10.1109/WCCIT.2013.6618737
