Webcam Mouse Using Face and Eye Tracking in Various Illumination Environments

Comments

Franck

Manoj

Summary

In this study, the authors present an illumination recognition technique that combines K-Nearest Neighbor classifier and adaptive skin model to provide real-time tracking. Their accuracy reached over 92% in different environments. The system tracks face and eyes features at 15 fps under standard notebook platforms. The system permits user to define and add their favorite environments to the nearest neighbor classifier, but it comes with 5 initial environments. They used the Webcam Mouse system on a laptop PC with a Logitech Webcam. The system takes up 45% of window resources.

Analysis

I think this requires more usability tests to see if their methods is robust enough for different environments. However, I did not think the KNN classifier was useful in this area.