Title :
Next Generation Face Tracking Technology Using AAM Techniques
Author :
Corcoran, Peter ; Ionita, M.C. ; Bacivarov, Joana
Author_Institution :
NUI Galway, Galway
Abstract :
This paper realizes an investigation of the active appearance model (AAM) techniques, with particular emphasis on problems related to the implementation of AAM in realtime face tracking applications for embedded systems. The paper includes (a) new training and model construction approaches for AAMs with increased robustness to head pose variations and changes in the illumination conditions, and (b) a corresponding AAM-based face tracking scheme.
Keywords :
embedded systems; face recognition; image sequences; inference mechanisms; pose estimation; statistical analysis; tracking; active appearance model technique; embedded systems; head pose variation; next generation face tracking technology; statistical inference model; video sequences; Active appearance model; Application software; Computer vision; Face detection; Facial animation; Head; Lighting; Robustness; Shape; Target tracking;
Conference_Titel :
Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on
Conference_Location :
Iasi
Print_ISBN :
1-4244-0969-1
Electronic_ISBN :
1-4244-0969-1
DOI :
10.1109/ISSCS.2007.4292639
