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Related Concept Videos

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Curvilinear Motion: Polar Coordinates01:27

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Related Experiment Video

Updated: May 3, 2026

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
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FicTrac: a visual method for tracking spherical motion and generating fictive animal paths.

Richard J D Moore1, Gavin J Taylor1, Angelique C Paulk1

  • 1Queensland Brain Institute, University of Queensland, St Lucia, QLD 4072, Australia.

Journal of Neuroscience Methods
|February 5, 2014
PubMed
Summary

Researchers developed FicTrac, a novel vision-based tracking system, to study animal behavior in virtual reality. This system accurately tracks animal movement, aiding research into brain functions like attention and navigation.

Keywords:
Apis melliferaFictive pathSpherical treadmillVisual fixationVisual trackingWebcam

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Area of Science:

  • Neuroscience
  • Animal Behavior
  • Computer Vision

Background:

  • Understanding brain mechanisms of attention, learning, memory, sensory processing, and navigation requires studying animal behavior in controlled environments.
  • Virtual reality (VR) offers a powerful tool for such investigations, but requires accurate methods to track animal movement within the virtual space.

Purpose of the Study:

  • To develop and validate a novel, accurate, and robust vision-based tracking system for estimating animal paths in VR.
  • To enable real-time sensory feedback for behaving animals in VR experiments.
  • To demonstrate the system's flexibility and applicability across different species and experimental paradigms.

Main Methods:

  • Development of FicTrac (Fictive path Tracking software), a vision-based system using a standard camera and computer vision techniques.
  • FicTrac estimates an animal's path by analyzing its rotation of an air-supported sphere.
  • Comparison of FicTrac's accuracy and robustness against a standard optical mouse-based approach.

Main Results:

  • FicTrac demonstrated superior accuracy and robustness compared to optical mouse-based methods for generating fictive paths.
  • The system successfully recorded tethered honeybee (Apis mellifera) behavior in response to visual stimuli.
  • Closed-loop visual fixation was demonstrated in both honeybees and fruit flies (Drosophila melanogaster), highlighting the system's flexibility.

Conclusions:

  • FicTrac is a simple, fast, and adaptable vision-based tracking system for VR experiments with animals.
  • It enables real-time sensory feedback and can be combined with electrophysiology for neural mechanism studies.
  • The system is suitable for a wide range of organisms, including invertebrates and vertebrates.