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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Yao, B., Hagras, H., Ghazzawi, D.A., Alhaddad, M.J. (2012). An Interval Type-2 Fuzzy Logic System for Human Silhouette Extraction in Dynamic Environments. In: Kamel, M., Karray, F., Hagras, H. (eds) Autonomous and Intelligent Systems. AIS 2012. Lecture Notes in Computer Science(), vol 7326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31368-4_15
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DOI: https://doi.org/10.1007/978-3-642-31368-4_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31367-7
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