Study on the Detection Method of Pigs in Piglet Pigsty Based on the Characteristics of Pigs

Abstract:

Pig detection plays an important role in intelligent monitoring system of pigsty. According to the features of piglets acting in a large scope with high frequency, an improved Gaussian mixture background model was proposed for detecting piglets, which improves processing speed by reducing the number of Gaussian functions. Since the sow is confined to the sow limitation crate and its activities’ state is simple within a small range, an skin color look-up table method which was based on characteristics of skin was proposed for detecting the sow. The experimental results demonstrated that the pigs detection methods including an improved mixture Gaussian background model and an skin color Look-Up table method are superior to frame subtraction method, mixture Gaussian background model method and optical flow method.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2271-2276
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2271
• Online since: November 2011
• Authors: Shou Hua Yu, Ji Hong Chen, Jing Ying Ou
• Keywords: Detection Method of Pigs, Gaussian Mixture Background Modeling, Piglet Pigsty, Skin Color Look-Up Table Method

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DOI: 10.1109/34.1000242

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