利用深度信息进行卧猪探测

Jinseong Kim, Younchang Choi, Miso Ju, J. Sa, Yongwha Chung, Daihee Park, Hakjae Kim
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引用次数: 8

摘要

在监控摄像机环境下,猪舍内猪的检测是自动化管理的一个重要问题。此外,为了估计猪舍的温度,分析卧猪的面积也很重要。然而,很难从RGB数据中识别猪是躺着还是站着,因为数据中没有任何高度信息。在这项研究中,我们提出了一种利用3D Kinect相机获得的深度信息来检测卧猪的方法。实验结果表明,该方法可以利用猪与地面深度信息的差异来检测卧猪。
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Lying-Pig Detection using Depth Information
In a surveillance camera environment, detecting pigs in a pig room is an important issue in terms of automatic management. In addition, it is important to analyze the area of lying-pigs in order to estimate the temperature of a pig room. However, it is difficult to recognize whether the pigs are lying or standing from RGB data because the data do not have any height information. In this study, we propose a method to detect lying-pigs by using depth information obtained from a 3D Kinect camera. According to the experimental results, we confirmed that the proposed method could detect lying-pigs by using a difference of the depth information between pigs and floor.
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