CRAN/E | trackdem

trackdem

Particle Tracking and Demography

Installation

About

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.

Citation trackdem citation info
github.com/marjoleinbruijning/trackdem
System requirements Python (>=2.7), Libav, ExifTool
Bug report File report

Key Metrics

Version 0.6
Published 2021-09-24 947 days ago
Needs compilation? yes
License GPL-2
CRAN checks trackdem results

Downloads

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Maintainer

Maintainer

Marjolein Bruijning

mbruijning@princeton.edu

Authors

Marjolein Bruijning
Marco D. Visser
Caspar A. Hallmann
Eelke Jongejans

Material

Reference manual
Package source

In Views

SpatioTemporal
Tracking

Vignettes

Tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

trackdem archive

Imports

png
neuralnet
raster
Rcpp
MASS
grDevices
graphics
stats
shiny

Suggests

knitr
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LinkingTo

Rcpp
RcppArmadillo