Gaze tracking and object identification

Development of real-time gaze-tracking method and object detection for identification of the object of interest. Each of eyes is recorded from one of the two cameras placed below the eye and pupils are identified using traditional image processing (conversion to grayscale, morphological transformation and contour extraction). The pupils coordinates are associated with the gaze coordinates in the world-camera by training two Support Vector Regressors, one for each of the coordinates (x,y). A state-of-art object detector is employed to identify the objects in the world-camera. The object that the gazed is fixated to is identified based on the properties of the bounding box and the gaze coordinates

Researcher:
Iason Batzianoulis
Related code:

Acknowledgements:
This research is supported by the Swiss National Science Foundation through the National Centre of Competence in Research Robotics and the Hasler Foundation.