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A Visual Tracking System for Honey Bee (Hymenoptera: Apidae) 3D Flight Trajectory Reconstruction and Analysis

机译:蜂蜜蜜蜂(Hymenoptera:Apidae)的视觉跟踪系统3D飞行轨迹重建与分析

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摘要

We describe the development, field testing, and results from an automated 3D insect flight detection and tracking system for honey bees (Apis mellifera L.) (Hymenoptera: Apidae) that is capable of providing remarkable insights into airborne behavior. It comprises two orthogonally mounted video cameras with an observing volume of over 200 m3 and an offline analysis software system that outputs 3D space trajectories and inflight statistics of the target honey bees. The imaging devices require no human intervention once set up and are waterproof, providing high resolution and framerate videos. The software module uses several forms of modern image processing techniques with GPU-enabled acceleration to remove both stationary and moving artifact while preserving flight track information. The analysis system has thus far provided information not only on flight statistics (such as speeds and accelerations), but also on subtleties associated with flight behavior by generating heat maps of density and classifying flight patterns according to patrol and foraging behavior. Although the results presented here focus on behavior in the locale of a beehive, the system could be adapted to study a wide range of airborne insect activity.
机译:我们描述了自动化3D昆虫飞行检测和用于蜂蜜蜜蜂(APIS Mellifera L.)(Hymenoptera:Apidae)的跟踪系统的开发,现场测试和结果,其能够为空气传播行为提供显着的见解。它包括两个正交安装的摄像机,观察体积超过200 M3和输出3D空间轨迹的离线分析软件系统和目标蜂蜜蜜蜂的机会统计数据。成像装置一旦设置并防水,就不需要人类干预,提供高分辨率和竞争视频。软件模块使用多种形式的现代图像处理技术,具有GPU的加速度,以在保留飞行轨道信息的同时去除静止和移动伪影。因此,分析系统已经提供了不仅在飞行统计(例如速度和加速)上的信息,而且还通过根据巡逻和觅食行为来产生与飞行模式的热图和分类飞行模式相关联的微妙之处。虽然这里提出的结果侧重于蜂箱的区域环境中的行为,但是该系统可以适应研究各种空中昆虫活动。

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