https://github.com/juliarobotics/sensorfeaturetracking.jl

Algorithms to track features of interest, such as images KLT
https://github.com/juliarobotics/sensorfeaturetracking.jl

Last synced: about 1 year ago
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Algorithms to track features of interest, such as images KLT

• Host: GitHub
• URL: https://github.com/juliarobotics/sensorfeaturetracking.jl
• Owner: JuliaRobotics
• License: mit
• Created: 2017-10-15T22:10:22.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2020-02-08T17:00:25.000Z (over 6 years ago)
• Last Synced: 2025-03-15T09:41:22.244Z (over 1 year ago)
• Language: Julia
• Size: 3.14 MB
• Stars: 11
• Watchers: 4
• Forks: 3
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SensorFeatureTracking

[![Build Status](https://travis-ci.org/JuliaRobotics/SensorFeatureTracking.jl.svg?branch=master)](https://travis-ci.org/JuliaRobotics/SensorFeatureTracking.jl)

[![codecov.io](https://codecov.io/github/JuliaRobotics/SensorFeatureTracking.jl/coverage.svg?branch=master)](https://codecov.io/github/JuliaRobotics/SensorFeatureTracking.jl?branch=master)

Algorithms to track features of interest, such as KLT. Please see [documentation](https://JuliaRobotics.github.io/SensorFeatureTracking.jl/latest/), and file issues or make suggestions as you see fit.

**Note** Features in this package are not yet optimized for speed, but the start of implementing machine/computer vision sparse feature functions that are useful to robotics.

## Installing

This is an unregistered Julia package, but can be readily installed from a Julia console:

```julia

Pkg.clone("https://github.com//SensorFeatureTracking.jl.git")

```

Upstream master is at: `https://github.com/JuliaRobotics/SensorFeatureTracking.jl.git`

## Examples

Please see, as part of the development, two cases in the `examples` folder. These examples currently extract corner features from either an image file, or a webcam image sequence.

Please note this code is not yet optimized in any way. Performance can be improved.

## Unit Test

Basic unit tests are currently under development in the `test` folder. Unit tests can be run by typing:

```julia

Pkg.test("SensorFeatureTracking")

```

# Contributors

This package uses several dependencies (thank you) and put together by:

A. Hattingh, J. Terblanche, D. Fourie