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Detection of the mite Varroa destructor in honey bee cells by video sequence processing

机译:通过视频序列处理检测蜂窝蜂窝中的螨虫析构函数

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It is presented an algorithm for detecting and tracking a mite, from videos provided by the Centro de Investigación Apícola Tropical (CINAT-Costa Rica). These registrations correspond to the presence of the Varroa destructor mite in an Africanized honey bee cell, in a controlled environment. The main objective in this paper is to present the various stages of development of the algorithm and show the results obtained in the percentage of success in detecting. Therefore, we have implemented a calibration system in order to have a frame more enhanced versus the original video. This calibration is done by the searching of the Movement Active Area and definition of our object (the mite V destructor), and finally, an automatic detection and tracking are done. We have reached up to 93.75% for right detection and tracking, working on real time under a Matlab environment.
机译:介绍了一种用于检测和跟踪螨虫的算法,来自Centro deInvestigaciónApícola热带(Cinat-CostaRica)提供的视频。这些注册对应于受控环境中的非洲化蜂窝蜂细胞中Varroa析构螨的存在。本文的主要目的是展示算法的各种发展阶段,并显示了检测成功百分比所获得的结果。因此,我们已经实现了校准系统,以便具有更高增强的帧与原始视频更具增强。该校准是通过搜索移动活动区域和我们对象的定义(螨虫析构函数)来完成的,最后,完成自动检测和跟踪。我们已达到高达93.75%的正确检测和跟踪,在Matlab环境下实时工作。

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