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Sensors 2016, 16(5), 631; doi:10.3390/s16050631

Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor

1
Department of Computer and Information Science, Korea University, Sejong Campus, Sejong City 30019, Korea
2
Ctrip Co., 99 Fu Quan Road, IT Security Center, Shanghai 200335, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Simon X. Yang
Received: 3 March 2016 / Revised: 27 April 2016 / Accepted: 28 April 2016 / Published: 2 May 2016
(This article belongs to the Special Issue Sensors for Agriculture)
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Abstract

Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. In this study, we developed a non-invasive, inexpensive, automatic monitoring prototype system that uses a Kinect depth sensor to recognize aggressive behavior in a commercial pigpen. The method begins by extracting activity features from the Kinect depth information obtained in a pigsty. The detection and classification module, which employs two binary-classifier support vector machines in a hierarchical manner, detects aggressive activity, and classifies it into aggressive sub-types such as head-to-head (or body) knocking and chasing. Our experimental results showed that this method is effective for detecting aggressive pig behaviors in terms of both cost-effectiveness (using a low-cost Kinect depth sensor) and accuracy (detection and classification accuracies over 95.7% and 90.2%, respectively), either as a standalone solution or to complement existing methods. View Full-Text
Keywords: pig aggression recognition; Kinect depth sensor; support vector machine pig aggression recognition; Kinect depth sensor; support vector machine
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Lee, J.; Jin, L.; Park, D.; Chung, Y. Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor. Sensors 2016, 16, 631.

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