Virtual reality for animal navigation with camera-based optical flow tracking.

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ID: 27703
2019
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Ranked #13 of 35 articles by views in journal of neuroscience methods

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Abstract
Virtual reality combined with a spherical treadmill is used across species for studying neural circuits underlying navigation and learning.We developed an optical flow-based method for tracking treadmill ball motion in real time using a single high-resolution camera.Tracking accuracy and timing were determined using calibration data. Ball tracking was performed at 500 Hz and integrated with an open source game engine for virtual reality projection. The projection was updated at 120 Hz with a latency with respect to ball motion of 30±8 ms. The system was tested for behavior with fruit flies. The application and source code are available at https://github.com/ivan-vishniakou/neural-circuits-vr.Optical flow-based tracking of treadmill motion is typically achieved using optical mice. The camera-based optical flow tracking system developed here is based on off-the-shelf components and offers control over the image acquisition and processing parameters. This results in flexibility with respect to tracking conditions - such as ball surface texture, lighting conditions, or ball size - as well as camera alignment and calibration.A fast system for rotational ball motion tracking suitable for virtual reality behavior with fruit flies was developed and characterized.
Reference Key
vishniakou2019virtualjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Vishniakou, Ivan;Plöger, Paul G;
Journal journal of neuroscience methods
Year 2019
DOI
S0165-0270(19)30260-2
URL
Keywords Keywords not found

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