Respiratory Frequency Detection of Pigs Based on Area Feature Operator

Abstract:

In order to detect and identify the abnormal respiratory of pig and provide real-time warning, in this paper we propose to use machine vision that apply the feature of area operator to detect the porcine respiratory frequency .The structure of the paper is as follows .Firstly the videos of pig standing in the piggery are captured through the use of camera and transmitted to the computer. Then on the MATLAB platform, the changing abdominal area of pig is extracted. Secondly the characteristics of adaptive and multi-resolution analysis of wavelet analysis allow us to remove the burrs of the area signal. Moreover, we use the peak point detection algorithm to acquire pig’s respiratory frequency during the monitoring time, which finally is transformed into breath rate. The experimental results show that the detection accuracy of respiratory frequency is higher than 92% for the abnormal breathing pigs.

• Periodical: Applied Mechanics and Materials (Volume 614)
• Pages: 317-320
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.614.317
• Online since: September 2014
• Authors: Wei Xing Zhu*, Lei Yang, Liang Tang
• Keywords: Area Feature Operator, Breath Detection, Machine Vision, Pig, Wavelet Analysis

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