Mouse Pointer Tracking with Eyes

In this article, we expose our research work in Human-machine Interaction. The research consists in manipulating the workspace by eyes. We present some of our results, in particular the detection of eyes and the mouse actions recognition. Indeed, the handicaped user becomes able to interact with the machine in a more intuitive way in diverse applications and contexts. To test our application we have chooses to work in real time on videos captured by a camera placed in front of the user.




References:
[1] P. Viola and M. J. Jones, "Robust Real-Time Face Detection",
International Journal of Computer Vision, Vol. 57, No. 2, pp. 137-154,
2004
[2] P. Viola and M. Jones, "Rapid Object Detection Using a Boosted
Cascade of Simple Features", vol. 1, 2001
[3] R. Lienhart and J. Maydt, An Extended Set of Haar-like Features for
Rapid Object Detection, vol. 2, no. 1, pp. 900-903, 2002.
[4] H.P. Graf, T. Chen, E. Petajan, E. Cosatto, "Locating Faces and Facial
Parts". Proc. First Intl Workshop Automatic Face and Gesture
Recognition, pp. 41-46, 1995.
[5] H.P. Graf, E. Cosatto, D. Gibbon, M. Kocheisen, et E. Petajan,
"Multimodal System for Locating Heads and Faces", Proc. Second Intl
Conf. Automatic Face and Gesture Recognition, pp. 88-93, 1996.
[6] K. Sobottka, I. Pitas, "Face Localization and Feature Extraction Based
on Shape and Color Information", Proc. IEEE Int-l Conf. Image
Processing, pp 483-486, 1996.