Gait Abnormality Detected of Pigs Based on Machine Vision

Abstract:

In order to detect and identify the abnormal behavior of pigs and provide real-time warning, the detection method of pig’s gait abnormalities using the gait information and machine vision technology is proposed. First of all, the single frame image was extracted from the objective videos, which was preprocessed to obtain contour of pigs. Secondly, the distance curve of center – edge point of the contour was drawn, hence, seven key contour points, ears, nose, limbs, and tail, were selected from the curve. So the star skeleton model could be established according to the key contour points of pigs. Thirdly, by taking advantage of three key contour points to get a angle. In this paper, to choosing ear, centroid and tail of pig to structure a angle, the data about angle changing of pigs both lame and normal walk gaits are calculated from the model respectively, which can be used to detect lame walk. This presented study provides a new method for real-time surveillance in animal behaviors.

• Periodical: Applied Mechanics and Materials (Volume 614)
• Pages: 432-435
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.614.432
• Online since: September 2014
• Authors: Wei Xing Zhu*, Jin Jin Zhou, Yan Wu
• Keywords: Image Processing, Lame Walk, Pig, Star Skeleton Model

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