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使用云台摄像机跟踪飞行昆虫。

Tracking of flying insects using pan-tilt cameras.

作者信息

Fry S N, Bichsel M, Müller P, Robert D

机构信息

Zoologisches Institut, University of Zürich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.

出版信息

J Neurosci Methods. 2000 Aug 15;101(1):59-67. doi: 10.1016/s0165-0270(00)00253-3.

Abstract

Potent and affordable video and computer systems for automatic data acquisition are becoming increasingly important in behavioural neuroscience. It has remained challenging, however, to acquire data from small and fast-moving animals, such as insects in flight, due to the limited spatial and temporal resolution of the systems currently available. Our research on free-flying insects motivated the development of new methods in the context of two different experimental settings. First, the position and precise body axis direction of honey bees approaching a food source were automatically measured. Second, the flight trajectories of a phonotactic parasitoid fly homing in on its cricket host were recorded in 3D. We used pan-tilt cameras, i.e. cameras with moveable optics, to follow the animal's path with a close up image. Novel methods were developed for image acquisition and position measurement using pan-tilt cameras, as well as calibration and data evaluation in 3D world coordinates. The innovations of this system comprise: (1) Acquisition of images in high spatial detail over large observation areas. (2) Image acquisition at a field rate of 50 Hz PAL. (3) Free positioning of the cameras for 3D acquisition. (4) Computation of the flight path in 3D world coordinates. We illustrate the capabilities of the system with data obtained from a calibration object as well as from the behaviour of unrestricted, free-flying flies and bees. Potential applications in behavioural neuroscience and the psychophysics of sensory perception are briefly discussed.

摘要

功能强大且价格实惠的用于自动数据采集的视频和计算机系统在行为神经科学中变得越来越重要。然而,由于目前可用系统的空间和时间分辨率有限,从小型且移动迅速的动物(如飞行中的昆虫)获取数据仍然具有挑战性。我们对自由飞行昆虫的研究促使在两种不同实验环境下开发新方法。首先,自动测量接近食物源的蜜蜂的位置和精确的身体轴线方向。其次,记录趋声性寄生蝇飞向其蟋蟀宿主的三维飞行轨迹。我们使用云台摄像机,即具有可移动光学元件的摄像机,通过特写图像跟踪动物的路径。开发了使用云台摄像机进行图像采集和位置测量以及在三维世界坐标中进行校准和数据评估的新方法。该系统的创新包括:(1)在大观察区域内以高空间细节采集图像。(2)以50赫兹PAL场频采集图像。(3)摄像机自由定位以进行三维采集。(4)在三维世界坐标中计算飞行路径。我们用从校准物体以及自由飞行的苍蝇和蜜蜂的行为中获得的数据来说明该系统的能力。简要讨论了其在行为神经科学和感觉知觉心理物理学中的潜在应用。

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