Particle Tracking and Demography
Background detection
Create image sequence
Find maximum tracking cost
Find pixel range
Find threshold
Identify moving particles
Load .png images
Manually identify true and false positives with a GUI.
Merge track records
plot methods for class 'TrDm'.
print methods for class 'TrDm'.
print methods for class 'TrDm'.
Batch analysis
Simulate trajectories and save as png files.
Background subtraction
summary methods for class 'TrDm'.
Train, validate and test artificial neural networks
trackdem - Particle Tracking and Demography
Track particles
Update identified particles.
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.
Useful links