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http://dx.doi.org/10.3837/tiis.2015.08.024

Automated Detection of Cattle Mounting using Side-View Camera  

Chung, Yongwha (Dept. of Computer and Information Science Korea University)
Choi, Dongwhee (Dept. of Computer and Information Science Korea University)
Choi, Heesu (Dept. of Computer and Information Science Korea University)
Park, Daihee (Dept. of Computer and Information Science Korea University)
Chang, Hong-Hee (Dept. of Animal Science Gyeongsang National University)
Kim, Suk (Col. of Veterinary Medicine Gyeongsang National University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.8, 2015 , pp. 3151-3168 More about this Journal
Abstract
Automatic detection of estrus in cows is important in cattle management. This paper proposes a method of estrus detection by automatically checking cattle mounting. We use a side-view video camera and apply computer vision techniques to detect mounting behavior. In particular, we extract motion information to select a potential mount-up and mount-down motion and then verify the true mounting behavior by considering the direction, magnitude, and history of the mount motion. From experimental results using video data obtained from a Korean native cattle farm, we believe that the proposed method based on the abrupt change of a mounting cow's height and motion history information can be utilized for detecting mounting behavior automatically, even in the case of fence occlusion.
Keywords
IT-Agriculture; Estrus detection; Video monitoring; Mounting behavior;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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