Robust face and facial feature tracking for gaze estimation

摘要

Robust, real-time, user-friendly, non-restrictive and fully automatic natural like human computer interfaces are required to move away from the present machine-empowered-technologies to future human-empowered-technologies (HET). As one of HET interface technologies, this paper presents a cost-effective stereo face detection and tracking of facial features for determining facial pose. The object features are extracted using max-median filters and a progressive threshold algorithm, the face is verified on 'prominent feature configuration template'. Once face is confirmed, the features are tracked using dynamic programming filter. The results are impressive. Video clips would be shown during presentation in the symposium.