Document Details

Document Type : Article In Conference 
Document Title :
An Interval Type-2 Fuzzy Logic System for Human Silhouette Extraction in Dynamic Environments
نظام المنطق الضبابي من النوع (2) ذو الفاصل الزمني لاستخراج الصور الضلية للأشخاص في البيئات الديناميكية
 
Subject : An Interval Type-2 Fuzzy Logic System for Human Silhouette Extraction in Dynamic Environments 
Document Language : English 
Abstract : In this paper, we present a type-2 fuzzy logic based system for robustly extracting the human silhouette which is a fundamental and important procedure for advanced video processing applications, such as pedestrian tracking, human activity analysis and event detection. The presented interval type-2 fuzzy logic system is able to detach moving objects from extracted human silhouette in dynamic environments. Our real-world experimental results demonstrate that the proposed interval type-2 fuzzy logic system works effectively and efficiently for moving objects detachment where the type-2 approach outperforms the type-1 fuzzy system while significantly reducing the misclassification when compared to the type-1 fuzzy system. 
Conference Name : Proceedings of the 2012 International Conference on Autonomous and Intelligent Systems, Aviero, Portugal, June 2012, 
Duration : From : June 2012 AD - To : June 2012 AD 
Publishing Year : 1433 AH
2012 AD 
Number Of Pages : 6 
Article Type : Article 
Conference Place : Aviero, Portugal 
Added Date : Saturday, September 1, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
دانيال الغزاويAlghazzawi, Daniyal InvestigatorDoctoratedghazzawi@kau.edu.sa
Bob YaoYao, Bob Researcher  
Hani HagrasHagras, Hani Researcher  
محمد الحدادAlhaddad, Muhammad ResearcherDoctorate 

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