The Algorithm Research of Lip Behavior Detection Based on LBP Operator

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Abstract:

The lip behavior detection is work foundation by utilizing video control software behavior, which including the lip positioning, feature extraction and behavior recognition. It is proposed that we utilize LBP operator to conduct lip feature extraction in this article, and adopt SVM to conduct classification and recognition of behavior. Experimental results show that the algorithm can effectively achieve detection and identification of lip behavior in the article, which meet the real-time and robustness in video processing.

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Advanced Materials Research (Volumes 850-851)

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784-787

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Wang, W.M. Hu, T.N. Tan: Journal of Computers, Vol. 25 (2002) No. 3, pp.225-237. (In Chinese).

Google Scholar

[2] Z.X. Chen, Y.M. Cheng, D. Zeng: Journal of System Simulation, Vol. 21 (2009) No. 23, pp.923-926. (In Chinese).

Google Scholar

[3] G.A. lexei, S. Yaser, S. Mubarak: Proceedings of International Conference on Pattern Recognition (Cambridge, UK, 2004), pp.923-926.

Google Scholar

[4] W. Liang, Suter David: Proceedings of International Conference on Pattern Recognition (Hong Kong, China, 2006), pp.1266-1269.

Google Scholar

[5] D. Freire: Lecture Notes in Computer Science, vol. 5707 (2009), pp.97-104.

Google Scholar

[6] X.P. Wang, Y.F. Hao, D.G. Fu: Pattern Recognition and Artificial Intelligence, Vol. 20 (2007) No. 4, pp.485-490. (In Chinese).

Google Scholar

[7] L.X. Duan, D. Xu, I.W. Tsang, et al: IEEE Trans Pattern Anal Mach Intell, vol. 34 (2009) no. 9, pp.1667-1680.

Google Scholar

[8] D. Parikh, C.L. Zitnick: 2010 IEEE Conference on Computer Vision and Pattern Recognition (San Francisco, USA, 13-18 June 2010), pp.2328-2335.

Google Scholar

[9] L. Mao: China CN101163189 (2008).

Google Scholar

[10] T Ojava, M Pietikainen, D Harwood: Pattern Recognition, Vol. 29 (1996) No. 1, pp.51-59.

Google Scholar

[11] Y.F. Tang, Z.M. Huang, R.J. Huang, et al: Computer Applications and Software Vol. 6 (2010), pp.22-25. (In Chinese).

Google Scholar

[12] L. Cao, D.F. Wang, X.J. Liu, et al: Journal of Electronics & Information Technology, Vol. 28 (2006) No. 3, pp.490-494. (In Chinese).

Google Scholar