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EyeRec

Modular components for real-time mobile eye tracking.

Table of Contents

Examples

  1. Depending on your setup, you might need to install / specify (or both) OpenCV's location. E.g.:
# Install opencv on Ubuntu:
sudo apt install libopencv-dev
# Set opencv location
export OpenCV_DIR=<opencv-path>
  1. Compiling and running the example application for pupil tracking
mkdir build
cd build
cmake ../
make install -j 8
./cpp/examples/track-pupil <algorithm-name> <path-to-video>
  1. The above command will also install the library, headers, and CMake config files, supporting cmake find_package (e.g., see the examples). After setting eyerec_DIR or CMAKE_PREFIX_PATH accordingly, you can use this library in your project roughly so:
find_package(eyerec REQUIRED)
add_executable(your-app ...)
target_link_libraries(your-app eyerec::eyerec)

Available Methods

Pupil Detection

Pupil Tracking

To-be-added Methods

Calibration Methods

Gaze Estimation Methods

I Don't Really Want to Compile Stuff

What you are probably looking for then is EyeRecToo, a Windows application that provides:

  • real-time slippage-robust mobile eye tracking
  • multiple pupil detection and tracking methods
  • multiple gaze estimation methods
  • high-usability gaze calibration
  • recording of eye-tracking videos and data
  • fiduciary marker detection
  • support for multiple head-mounted eye trackers, including the popular Pupil Core hardware.