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

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...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2016-05, Vol.16 (5), p.631-631
Main Authors: Lee, Jonguk, Jin, Long, Park, Daihee, Chung, Yongwha
Format: Article
Language:English
Subjects:
Aggression
Aggressiveness
Animal Husbandry
Animals
Automation
Biosensing Techniques
Classification
Complement
Economics
Head
Hogs
Kinect depth sensor
Monitoring
pig aggression recognition
Pigs
Sensors
Support Vector Machine
Support vector machines
Sus scrofa
Swine
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s16050631