trackR | trackR - A simple video tracking software for R | Video Utils library

trackR is a R library typically used in Video, Video Utils, OpenCV applications. trackR has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

trackR is an object tracker for R based on OpenCV. It provides an easy-to-use (or so we think) graphical interface allowing users to perform multi-object video tracking in a range of conditions while maintaining individual identities. trackR uses RGB-channel-specific background subtraction to segment objects in a video. A background image can be provided by the user or can be computed by trackR automatically in most situations. Overlapping objects are then separated using cross-entropy clustering, an automated classification method that provides good computing performance while being able to handle various types of object shapes (see the CEC package for R for more information on cross-entropy clustering). Most of the tracking parameters can be automatically estimated by trackR or can be set manually by the user. trackR also allows users to exclude parts of the image by using masks that can be easily created and customized directly within the app. Finally, trackR provides several convenience apps to correct common errors that occurs during video recording, to manually inspect and fix tracking errors, and to export publication-ready videos showing the moving objects with their track overlaid on top of them.