Title :
Appearance-based 3D face tracker: an evaluation study
Author :
Dornaika, Fadi ; Sappa, Angel D.
Author_Institution :
Comput. Vision Center, UAB, Barcelona, Spain
Abstract :
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications. In this paper, we present our recent 3D face tracker that combines online appearance models with an image registration technique. This monocular tracker runs in real-time and is drift insensitive. We introduce a scheme that takes into account the orientation of local facial regions into the registration technique. Moreover, we introduce a general framework for evaluating the developed appearance-based tracker. Precision and usability of the tracker are assessed using stereo-based range facial data from which ground truth 3D motions are inferred. This evaluation quantifies the monocular tracker accuracy, and identifies its working range in 3D space.
Keywords :
image registration; image sequences; stereo image processing; appearance-based 3D face tracker; image registration technique; monocular tracker; online appearance models; video sequences; Computer vision; Deformable models; Face detection; Facial animation; Humans; Magnetic heads; Magnetic sensors; Shape control; Tracking; Video sequences;
Conference_Titel :
Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 2nd Joint IEEE International Workshop on
Print_ISBN :
0-7803-9424-0
DOI :
10.1109/VSPETS.2005.1570906