Image Segmentation of Adjoining Pigs Using Spatio-Temporal Information


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 10, pp. 473-478, Oct. 2015
10.3745/KTSDE.2015.4.10.473,   PDF Download:

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.


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Cite this article
[IEEE Style]
J. Sa, S. Han, S. Lee, H. Kim, S. Lee, Y. Chung, D. Park, "Image Segmentation of Adjoining Pigs Using Spatio-Temporal Information," KIPS Transactions on Software and Data Engineering, vol. 4, no. 10, pp. 473-478, 2015. DOI: 10.3745/KTSDE.2015.4.10.473.

[ACM Style]
Jaewon Sa, Seoungyup Han, Sangjin Lee, Heegon Kim, Sungju Lee, Yongwha Chung, and Daihee Park. 2015. Image Segmentation of Adjoining Pigs Using Spatio-Temporal Information. KIPS Transactions on Software and Data Engineering, 4, 10, (2015), 473-478. DOI: 10.3745/KTSDE.2015.4.10.473.