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http://dx.doi.org/10.3745/KTSDE.2015.4.10.473

Image Segmentation of Adjoining Pigs Using Spatio-Temporal Information  

Sa, Jaewon (고려대학교 컴퓨터정보학과)
Han, Seoungyup (고려대학교 컴퓨터정보학과)
Lee, Sangjin (고려대학교 컴퓨터정보학과)
Kim, Heegon (고려대학교 컴퓨터정보학과)
Lee, Sungju (고려대학교 컴퓨터정보학과)
Chung, Yongwha (고려대학교 컴퓨터정보학과)
Park, Daihee (고려대학교 컴퓨터정보학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.4, no.10, 2015 , pp. 473-478 More about this Journal
Abstract
Recently, automatic video monitoring of individual pigs is emerging as an important issue in the management of group-housed pigs. Although a rich variety of studies have been reported on video monitoring techniques in intensive pig farming, it still requires further elaboration. In particular, when there exist adjoining pigs in a crowd pig room, it is necessary to have a way of separating adjoining pigs from the perspective of an image processing technique. In this paper, we propose an efficient image segmentation solution using both spatio-temporal information and region growing method for the identification of individual pigs in video surveillance systems. The experimental results with the videos obtained from a pig farm located in Sejong illustrated the efficiency of the proposed method.
Keywords
Image Segmentation; Spatio-Temporal Information; Video Surveillance System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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