Development of an efficient face detection and tracking system for mobile devices

Abstract

In this paper, we propose efficient face detection and tracking system for mobile interaction. To detect face rapidly, the proposed system adopts color filtering based efficient region selection method. Then the proposed system tracks the detected face based on particle filter. By integrating efficient face detector and face tracker, the proposed system can be used as user interface for mobile interaction. A set of experiment on PC and mobile environment are presented. The proposed system greatly reduce overall computational time and number of false positives.