TracTrac PTV software _______________ TracTrac is a Particle Tracking Velocimetry (PTV) software which is fast (more than 10000 points tracked per second) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2.7 with OpenCV2) or Matlab (>2012a with Image Processing toolbox). Give it a try ! |
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GitHub repository_________________________________> Get the last sources for TracTrac on GitHub! | |
SourceForge Release ______________________________> Download : Last release / Older Versions | Report a bug |
Reference _________________________________> Please refer to the following work :Heyman J., TracTrac: A fast multi-object tracking algorithm for motion estimation, Computers & Geosciences, Volume 128, 2019, Pages 11-18,doi: 10.1016/j.cageo.2019.03.007 , PDF. | |
User Guide _________________________________- Matlab users, run gui with>> tractrac - Python users, run test cases with >> python tractrac.py -p 1 or >> python tractrac.py -f '../Sample_videos/videotest.avi' -p 1 or >> python tractrac.py -f '../Sample_videos/PIVChallenge/*.tif' -p 2 or >> python tractrac.py -f '../Sample_videos/RiverDrone/*.tif' -p 2 - Run live-treatment by webcam acquisition by >> python tractrac.py -f '0' -p 1 -cmax 50 Details of parameters and commands are given in the publication Heyman 2019. | |
Examples ________________________________________ |
Python example 1: Visualisation |
| Matlab Example 1: Granular Flow from hopper |
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| Matlab Example 2: Bird Flock |
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| Matlab Example 3: Synthetic PIV flow |
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MATLAB GUI for TracTrac ________________________ | |
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TracTrac comes out with a sample video of grains in motion. Simply load it, and click Start to begin computations. TracTrac detects peaks in the video frame and predicts their trajectories through time. |
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TracTrac is able to simultaneously track several thousand of peaks, this in very short time (about 1 second per frame for 10000 peaks). Such efficiency is reached by splitting the association process into several ones, over sub-windows. |
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TracTrac is accurate, even in regions of high velocity gradients. A sub-pixel algorithm coupled to a motion model allows it to track particles of velocities ranging from 0 to several pixels per frames. |
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TracTrac is flexible and user-friendly. There are several visualization options, that allows you to adjust in real-time the tracking parameters to reach the best results. Parameters can be conveniently saved for later use. |
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Tractrac integrates manual cropping of videos, associated to median background subtraction, in order to focus better on image regions of direct interest. |
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Rotation is also possible in version 1.2. |
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Post-processing is also available inside the TracTrac program. Several plotting options are available: average velocities, fluctuations, peak density and peak trajectories, for instance. Figures may be saved with a single click ! Convinced ?! |