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http://dx.doi.org/10.9717/kmms.2016.19.8.1361

Pig Segmentation using Concave-Points and Edge Information  

Baek, Hansol (Dept. of Computer and Information Science, Korea University)
Chung, Yeonwoo (Dept. of Applied Statistics, Korea University)
Ju, Miso (Dept. of Computer and Information Science, Korea University)
Chung, Yongwha (Dept. of Computer and Information Science, Korea University)
Park, Daihee (Dept. of Computer and Information Science, Korea University)
Kim, Hakjae (Class Act)
Publication Information
Journal of Korea Multimedia Society / v.19, no.8, 2016 , pp. 1361-1370 More about this Journal
Abstract
To reduce huge losses in pig farms, weaning pigs with weak immune systems are required to be carefully supervised. Even if various researches have been performed for pig monitoring environment, segmenting each pig from touching-pigs is still entrenched as a difficult problem. In this paper, we propose a segmentation method for touching-pigs by using concave-points and edge information in a video surveillance system. Especially, we interpret the segmentation problem as a time-series analysis problem in order to identify the concave-points generated by touching-pigs. Based on the experimental results with the videos obtained from a domestic pig farm, we believe that the proposed method can accurately segment the touching-pigs.
Keywords
Livestock Monitoring; Video Surveillance System; Segmentation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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