Changhyun Park, Jaewon Sa, Heegon Kim, Yongwha Chung, Daihee Park, Hakjae Kim

KIPS Transactions on Software and Data Engineering, Vol. 7, No. 4, pp. 135-144, Apr. 2018
10.3745/KTSDE.2018.7.4.135,   PDF Download:
Keywords: Surveillance system, Behavior Analysis, Motion information, Object Segmentation, Tracking Verification
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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