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trackdem (version 0.6)

Particle Tracking and Demography

Description

Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.

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Install

install.packages('trackdem')

Monthly Downloads

676

Version

0.6

License

GPL-2

Issues

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Maintainer

Marjolein Bruijning

Last Published

September 24th, 2021

Functions in trackdem (0.6)

findThreshold

Find threshold
print.TrDm

print methods for class 'TrDm'.
runBatch

Batch analysis
simulTrajec

Simulate trajectories and save as png files.
identifyParticles

Identify moving particles
summary.TrDm

summary methods for class 'TrDm'.
subtractBackground

Background subtraction
trackdem

trackdem - Particle Tracking and Demography
update.particles

Update identified particles.
testNN

Train, validate and test artificial neural networks
trackParticles

Track particles
print.summaryTrDm

print methods for class 'TrDm'.
createImageSeq

Create image sequence
createBackground

Background detection
findPixelRange

Find pixel range
findMaxCost

Find maximum tracking cost
plot.TrDm

plot methods for class 'TrDm'.
mergeTracks

Merge track records
loadImages

Load .png images
manuallySelect

Manually identify true and false positives with a GUI.