Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan.
J Insect Sci. 2021 Nov 1;21(6). doi: 10.1093/jisesa/ieab079.
Many systems to monitor insect behavior have been developed recently. Yet most of these can only detect two-dimensional behavior for convenient analysis and exclude other activities, such as jumping or flying. Therefore, the development of a three-dimensional (3D) monitoring system is necessary to investigate the 3D behavior of insects. In such a system, multiple-camera setups are often used to accomplish this purpose. Here, a system with a single camera for tracking small insects in a 3D space is proposed, eliminating the synchronization problems that typically occur when multiple cameras are instead used. With this setup, two other images are obtained via mirrors fixed at other viewing angles. Using the proposed algorithms, the tracking accuracy of five individual drain flies, Clogmia albipunctata (Williston) (Diptera: Psychodidae), flitting about in a spherical arena (78 mm in diameter) is as high as 98.7%, whereas the accuracy of 10 individuals is 96.3%. With this proposed method, the 3D trajectory monitoring experiments of insects can be performed more efficiently.
最近已经开发出许多用于监测昆虫行为的系统。然而，这些系统大多数只能检测二维行为，以便于分析并排除其他活动，例如跳跃或飞行。因此，需要开发一个三维（3D）监测系统来研究昆虫的 3D 行为。在这样的系统中，通常使用多相机设置来实现这一目的。在这里，提出了一种使用单个相机跟踪 3D 空间中小昆虫的系统，消除了使用多个相机时通常会出现的同步问题。通过这种设置，使用固定在其他视角的镜子获得另外两个图像。使用所提出的算法，在直径为 78 毫米的球形竞技场中飞来飞去的五个个体 drains fly（Clogmia albipunctata（Williston））（双翅目：Psychodidae）的跟踪精度高达 98.7%，而 10 个个体的精度为 96.3%。使用这种方法，可以更有效地进行昆虫的 3D 轨迹监测实验。
