An interval type-2 fuzzy logic system for human silhouette extraction in dynamic environments

Authors:
Bo Yao;Hani Hagras;Danniyal Al Ghazzawi;Mohammed J. Alhaddad
Affiliations:
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK;School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK;King Abdulaziz University, Jeddah, Saudi Arabia;King Abdulaziz University, Jeddah, Saudi Arabia
Venue:
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
Year:
2012

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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.