The Application of the Moment in the Human Recognition

Dong Mei Wu; Jun Wei Li; Li Hua Lin

doi:10.4028/www.scientific.net/AMM.263-266.2661

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266The Application of the Moment in the Human...

The Application of the Moment in the Human Recognition

Abstract:

The important method of the human recognition is to use the moment of the target. This paper is mainly dedicated to the method of human recognition use for Hu moment and Zernike moment, and separates some sports target using the minimum distance classifier. Comparing characteristic of these moments in specific application, have provided the certain basis for the choice of the invariant moments in the human recognition algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2661-2665

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2661

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Online since:

December 2012

Authors:

Dong Mei Wu, Jun Wei Li, Li Hua Lin

Keywords:

Hu Moment, Human Recognition, Zernike Moment

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References

[1] HU M K. Visual Pattern Recognition by Moment Invariants [J] .IEEE Trans on Information Theory, 1962, (8): 179~187.

DOI: 10.1109/tit.1962.1057692

Google Scholar

[2] M R Teague. Image analysis via the general theory of moments [J].Journal of the Optical Society of America, 1980, 70(08):920~930.

DOI: 10.1364/josa.70.000920

Google Scholar

[3] Flusser Jan Suk Tomas. Pattern recognition by affine moment invariants [J]. Pattern recognition, 26, 1993, 167~174.

DOI: 10.1016/0031-3203(93)90098-h

Google Scholar

[4] Xu Danhua, Gu Jia,Li Songyi. The fast algorithm of Zernike moments [J]. Journal of southeast university (natural science edition), 2002, 32(2):189~192.

Google Scholar

[5] Khotanzad A, Hong Y H. Rotation invariant image recognition using features selected via a systematic method [J]. Pattern Recognition, 1990, 23 (10): 1089~1101.

DOI: 10.1016/0031-3203(90)90005-6

Google Scholar

[6] Jain AK. , Mao JC. , Duin RPW. etal. Statistical pattern recognition: A review [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(1): 4~37.

DOI: 10.1109/34.824819

Google Scholar