Grover Dhruv, Tower John, Tavaré Simon
Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA.
J R Soc Interface. 2008 Oct 6;5(27):1181-91. doi: 10.1098/rsif.2007.1333.
In this paper, the design of a real-time image acquisition system for tracking the movement of Drosophila in three-dimensional space is presented. The system uses three calibrated and synchronized cameras to detect multiple flies and integrates the detected fly silhouettes to construct the three-dimensional visual hull models of each fly. We used an extended Kalman filter to estimate the state of each fly, given past positions from the reconstructed fly visual hulls. The results show that our approach constructs the three-dimensional visual hull of each fly from the detected image silhouettes and robustly tracks them at real-time rates. The system is suitable for a more detailed analysis of fly behaviour.
本文介绍了一种用于跟踪果蝇在三维空间中运动的实时图像采集系统的设计。该系统使用三个经过校准和同步的相机来检测多只果蝇，并整合检测到的果蝇轮廓以构建每只果蝇的三维视觉外壳模型。给定从重建的果蝇视觉外壳中获取的过去位置，我们使用扩展卡尔曼滤波器来估计每只果蝇的状态。结果表明，我们的方法能够从检测到的图像轮廓构建每只果蝇的三维视觉外壳，并以实时速率稳健地跟踪它们。该系统适用于对果蝇行为进行更详细的分析。
