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19 February 2008 Method of real-time automatic recognition for animal posture
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Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 662513 (2008) https://doi.org/10.1117/12.791026
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fei Zhuang, Kaihua Wu, Feng Zhu, and Ting Ye "Method of real-time automatic recognition for animal posture", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 662513 (19 February 2008); https://doi.org/10.1117/12.791026
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