高性能果蝇运动跟踪

Xiaoyi Yu, Han Zhou, Lingyi Wu, Qingfeng Liu
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引用次数: 0

摘要

机器视觉系统是由Herko Dankert设计的,用于自动监测和分析果蝇的社会行为。Ctrax(加州理工学院多蝇追踪器)用于跟踪果蝇的运动。但是机器视觉方法过于复杂,对于缺乏计算机技术知识的研究人员来说很难使用。同样,大多数机器视觉解决方案在实时环境中表现不佳。我们的工作重点是开发一个高性能的应用程序来跟踪移动的果蝇,并从视频中生成可靠的轨迹。基于场景中不同部分的物体运动,实现了一种自动跟踪视频中果蝇的光解决方案。效果测试结果表明,我们的解决方案解决了生物研究中机器视觉的性能、可用性和准确性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-performance drosophila movement tracking
Machine vision systems have been designed for automated monitoring and analysis of social behavior in Drosophila by Herko Dankert. The Ctrax (The Caltech Multiple Fly Tracker) is implemented for tracking the Drosophila's movement. But the machine vision method is so sophisticated that it is hard to use by a researcher who is lack of computer technology knowledge. Likewise, most of the machine vision solutions are poor performance for the real time environment. Our work focuses on developing a high-performance application to track moving Drosophila and generate reliable tracks from the video. A light solution to automatically tracking the Drosophila in video is implemented, based on object motion in different parts of the scene. The results of effect tests show that our solution tackles the questions of performance, usability and accuracy in machine vision for bioresearch.
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