Development of a real-time computer vision system for tracking loose-housed pigs
Development of a real-time computer vision system for tracking loose-housed pigs
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DOI：
10.1016/j.compag.2011.01.011
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发表时间：
2011-05-01
影响因子：
8.3
通讯作者：
Karstoft, Henrik
中科院分区：
文献类型：
--
作者：
Ahrendt, Peter;Gregersen, Torben;Karstoft, Henrik
在不久的将来，畜牧业法规的变化将要求建立散养生猪饲养系统。这些新系统将增加农民的工作量，因为定位和识别动物将需要比以前更多的时间。本文提出了一种实时计算机视觉系统，用于跟踪散养马厩中的猪。该系统将减轻农民识别和定位个体动物的工作量。该系统由摄像机和PC机组成。电脑运行跟踪算法，估计猪的位置和身份。跟踪算法分两步运行。第一步建立支持图，指向每个视频帧中的初步猪片段。在第二步中，支持图片段用于构建个体猪的 5D 高斯模型（即位置和形状）。该系统具有针对相机镜头产生的鱼眼失真的软件校正。鱼眼镜头使摄像机能够监视马厩中更大的区域。这些算法在 MatLab 中开发，用 C 语言实现并实时运行。实验室和马厩中的实验证明了系统的稳健性。该系统可以在较长的时间跨度（超过 8 分钟）内跟踪至少 3 头猪，而不会在实际实验中丢失每头猪的跟踪和身份。 (C) 2011 Elsevier B.V. 保留所有权利。
Changes in regulations for livestock animals will in the near future call for loose-house pig breeding systems. These new systems will increase the workload for the farmers, as location and identification of animals will require more time than before. This paper presents a real-time computer vision system for tracking of pigs in loose-housed stables. The system will ease the workload for farmers in identification and locating individual animals. The system consists of a camera and a PC. The PC runs a tracking-algorithm, estimating the positions and identities of the pigs. The tracking algorithm operates in 2 steps. The first step builds up support maps, pointing to preliminary pig segments in each video frame. In the second step the support map segments are used to build up a 5D-Gaussian model of the individual pigs (i.e. position and shape). The system has software correction for fisheye distortion coming from the camera lens. The fisheye lens allows the camera to monitor a much larger area in the stable. The algorithms are developed in MatLab, implemented in C and runs in real-time. Experiments in the lab and in the stable demonstrate the robustness of the system. The system can track at least 3 pigs over a longer time span (more than 8 min) without loosing track and identity of the individual pigs in a realistic experiment. (C) 2011 Elsevier B.V. All rights reserved.