Model-based face tracking for dense motion field estimation

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn 2001-January, Issue , 2001, Pages 149-153

  Gee, Timothy F ^a   Mersereau, Russell M ^b  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MOTION ESTIMATION; OPTICAL FLOWS; VECTOR SPACES; VIDEO RECORDING;

DISPLACEMENT VECTORS; INPUT SEQUENCE; KALMAN-FILTERING; MODEL-BASED OPC; MOTION FIELD ESTIMATION; MOVING SUBJECT; OPTICAL FLOW ALGORITHM; VIDEO SEQUENCES;

PATTERN RECOGNITION;

EID: 58449136777     PISSN: 21642516     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2001.991218     Document Type: Conference Paper

References (6)

1. J. Ahlberg. Candide-3 - an updated parameterised face. Technical Report LiTH-ISY-R-2326, Dept. of Electrical Engineering, Link'oping University, Sweden, 2001.
2. S. Basu, I. Essa, and A. Pentland. Motion regularization for model-based head tracking. In Proceedings of the IEEE Computer Society Conference on Pattern Recognition, 1996.
3. M. Black. Robust Incremental Optical Flow. PhD thesis, Yale University, 1992.
4. J. Goddard and M. Abidi. Pose and motion estimation using dual quaternion-based extended kalman filtering. In Int. Soc. for Optical Engineering Photonics West Symposium on Electronic Imaging, 1998.
5. B. Horn and B. Schunck. Artificial Intelligence, 17(1-3):185- 203, aug 1981.
6. A. Tekalp. Digital video Processing. Prentice Hall, 1995.