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Faculty of Computing and Information Technology
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 Type
Dr Grade
Email
دانيال الغزاوي
Alghazzawi, Daniyal
Investigator
Doctorate
dghazzawi@kau.edu.sa
Bob Yao
Yao, Bob
Researcher
Hani Hagras
Hagras, Hani
Researcher
محمد الحداد
Alhaddad, Muhammad
Researcher
Doctorate
Files
File Name
Type
Description
34134.pdf
pdf
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