Touching Pigs Segmentation and Tracking Verification Using Motion Information

KIPS Transactions on Software and Data Engineering, Vol. 7, No.4, pp.135-144, April 2018
10.3745/KTSDE.2018.7.4.135, Full Text

Abstract

The domestic pigsty environment is highly vulnerable to the spread of respiratory diseases such as foot-and-mouth disease because of the small space. In order to manage this issue, a variety of studies have been conducted to automatically analyze behavior of individual pigs in a pig pen through a video surveillance system using a camera. Even though it is required to correctly segment touching pigs for tracking each pig in complex situations such as aggressive behavior, detecting the correct boundaries among touching pigs using Kinect’s depth information of lower accuracy is a challenging issue. In this paper, we propose a segmentation method using motion information of the touching pigs. In addition, our proposed method can be applied for detecting tracking errors in case of tracking individual pigs in the complex environment. In the experimental results, we confirmed that the touching pigs in a pig farm were separated with the accuracy of 86%, and also confirmed that the tracking errors were detected accurately.


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Cite this paper

[KIPS Transactions Style]
C. Park, J. Sa, H. Kim, Y. Chung, D. Park, and H. Kim, "Touching Pigs Segmentation and Tracking Verification Using Motion Information," KIPS Transactions on Software and Data Engineering, Vol.7, No.4, pp.135-144, 2018, DOI: 10.3745/KTSDE.2018.7.4.135.

[IEEE Style]
Changhyun Park, Jaewon Sa, Heegon Kim, Yongwha Chung, Daihee Park, and Hakjae Kim, "Touching Pigs Segmentation and Tracking Verification Using Motion Information," KIPS Transactions on Software and Data Engineering, vol. 7, no. 4, pp. 135-144, 2018. DOI: 10.3745/KTSDE.2018.7.4.135.

[ACM Style]
Park, C., Sa, J., Kim, H., Chung, Y., Park, D., and Kim, H. 2018. Touching Pigs Segmentation and Tracking Verification Using Motion Information. KIPS Transactions on Software and Data Engineering, 7, 4, (2018), 135-144. DOI: 10.3745/KTSDE.2018.7.4.135.