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Proceedings Paper

Method of real-time automatic recognition for animal posture
Author(s): Fei Zhuang; Kaihua Wu; Feng Zhu; Ting Ye
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Paper Abstract

The paper introduced a real-time pattern recognition method for animal posture. It based on digital image processing, BP neural network and DSP techniques. 2D movement projective image of mice was captured and processed. Some features were extracted, such as morphological parameters and motion parameters. A BP neural network was set to distinguish the posture with these parameters. According to the experiments, the recognition rate of special posture reached 90.5%. The method can be applied in pharmacology experiments and other fields for classification of animal posture.

Paper Details

Date Published: 19 February 2008
PDF: 8 pages
Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 662513 (19 February 2008); doi: 10.1117/12.791026
Show Author Affiliations
Fei Zhuang, Hangzhou Dianzi Univ. (China)
Kaihua Wu, Hangzhou Dianzi Univ. (China)
Feng Zhu, Hangzhou Dianzi Univ. (China)
Ting Ye, Hangzhou Dianzi Univ. (China)


Published in SPIE Proceedings Vol. 6625:
International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications

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