Citation

Bashier, Housam Khalifa and Abusham, Eimad Eldin and Abdullah, Mohd Fikri Azli and Liew, Tze Hui and Yusof, Ibrahim and Lau, Siong Hoe (2013) Real Time Face tracker based on Local Graph Structure Threshold (LGS-TH). Australian Journal of Basic and Applied Sciences, 7 (2). pp. 632-638. ISSN 1991-8178

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Abstract

Face detection plays an important role in many applications such as face recognition, face image database, and video surveillance. In this paper a novel real time face tracking algorithm has been introduced with accurate results. The method is based on the idea of local graph structure-LGS. LGSTH features are based on LGS where features are derived from a general definition of texture in a local graph neighborhood. The idea of LGS-TH comes from a dominating set for a graph of the image and then the threshold of the face image is calculated and applied with LGS-TH.

Item Type:	Article
Uncontrolled Keywords:	local graph structure, image processing, pattern recognition, local binary pattern, face detection
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	12 Jan 2017 03:25
Last Modified:	12 Jan 2017 03:25
URII:	http://shdl.mmu.edu.my/id/eprint/6105

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