文章基本信息

标题：SEGMENTATION METHODS FOR A GROUP-HOUSED PIG MONITORING SYSTEM
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作者：MISO JU ; YEONWOO CHUNG ; HANSOL BAEK 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：17
页码：4321
出版社：Journal of Theoretical and Applied
摘要：The analysis of individual pig behavior in group-housed pigs is important for pig management. In this study, we propose two low-level segmentation methods for group-housed pigs to facilitate the video-based high-level analysis of pig behavior. In a 24-hour pig room monitoring environment where no pig is allowed to enter/leave the room during the monitored period, the previous video frame has sufficient information for separating touching-pigs in the current video frame. In this paper, we propose two methods to separate touching-pigs using the information of the previous video frame and a hybrid method for combining the segmentation results of each method. According to experimental results with the Korean pig farm data, the proposed segmentation methods based on the labeled outline/region information can provide more accurate results than widely used methods.
关键词：Group-Housed Pigs; Pig Management; Video-based Pig Monitoring; Image Processing; Segmentation