POLLEN BEARING HONEY BEE DETECTION IN HIVE ENTRANCE VIDEO RECORDED BY REMOTE EMBEDDED SYSTEM FOR POLLINATION MONITORING
POLLEN BEARING HONEY BEE DETECTION IN HIVE ENTRANCE VIDEO RECORDED BY REMOTE EMBEDDED SYSTEM FOR POLLINATION MONITORING
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用于授粉监测的远程嵌入式系统记录的蜂巢入口视频中携带花粉的蜜蜂检测
DOI：
10.5194/isprs-annals-iii-7-51-2016
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
G. Mirjanić
中科院分区：
文献类型：
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作者：
Z. Babic;Ratko Pilipović;V. Risojevic;G. Mirjanić
抽象的。蜜蜂在世界各地的授粉中发挥着至关重要的作用。本文提出了一种简单的，非侵入性的，系统的花粉轴承蜜蜂检测在蜂巢入口处获得的监控视频。所提出的系统可以用作一个更复杂的系统的一部分，用于跟踪和计数的蜜蜂与远程授粉监测作为最终目标。所提出的方法是执行真实的时间上的嵌入式系统共处一个蜂巢。采用背景差法、颜色分割法和形态学方法对蜜蜂进行分割。分类在两个类，花粉轴承蜜蜂和蜜蜂，没有花粉负载，进行使用最近的平均值分类器，与一个简单的描述符组成的颜色方差和偏心率功能。在内部数据集上，我们实现了88.7%的正确分类率，每类50个训练图像。我们表明，所获得的分类结果并不远远落后于国家的最先进的图像分类方法的结果。这有利于所提出的方法，特别是考虑到真实的时间视频传输到远程高性能计算工作站仍然是一个问题，并且传递所获得的授粉过程的参数要容易得多。
Abstract. Honey bees have crucial role in pollination across the world. This paper presents a simple, non-invasive, system for pollen bearing honey bee detection in surveillance video obtained at the entrance of a hive. The proposed system can be used as a part of a more complex system for tracking and counting of honey bees with remote pollination monitoring as a final goal. The proposed method is executed in real time on embedded systems co-located with a hive. Background subtraction, color segmentation and morphology methods are used for segmentation of honey bees. Classification in two classes, pollen bearing honey bees and honey bees that do not have pollen load, is performed using nearest mean classifier, with a simple descriptor consisting of color variance and eccentricity features. On in-house data set we achieved correct classification rate of 88.7% with 50 training images per class. We show that the obtained classification results are not far behind from the results of state-of-the-art image classification methods. That favors the proposed method, particularly having in mind that real time video transmission to remote high performance computing workstation is still an issue, and transfer of obtained parameters of pollination process is much easier.