Abstract
Our team has collected a face video database named the CMU Face In Action (FIA) database. This database consists of 20-second videos of face data from 180 participants mimicking a passport checking scenario. The data is captured by six synchronized cameras from three different angles, with an 8-mm and 4-mm focal-length for each of these angles. We performed the collection in both a controlled, indoor environment and an open, outdoor environment for each participant. Our data collection was taken in three sessions over a period of ten months. We aimed for a three month separation between sessions for each participant. We expect the database to be useful for analysis and modeling of faces and gestures.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: FERET (Face Recognition Technology) Recognition Algorithm Development and Test Results. Army Research Lab technical report 995 (October 1996)
Sim, T., Baker, S., Bsat, M.: The CMU Pose, Illumination, and Expression Database. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(12), 1615–1618 (2003)
ORL Face Database: http://www.uk.research.att.com/facedatabase.html
Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J.: From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Transaction Pattern Analysis Machine Intelligence 23(6), 643–660 (2001)
Graham, D.B., Allinson, N.M.: Characterizing Virtual Eigensignatures for General Purpose Face Recognition. In: Wechsler, H., Phillips, P.J., Bruce, V., Fogelman-Soulie, F., Huang, T.S. (eds.) Face Recognition: From Theory to Applications. NATO ASI Series F, Computer and Systems Sciences, vol. 163, pp. 446–456 (1998)
Point Grey Research Inc., http://www.ptgrey.com/
GretagMacbeth AG: http://www.gretagmacbeth.com/
Liu, X., Chen, T.: Online Modeling and Tracking of Pose-Varying Faces in Video. In: Video Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (June 2005)
Liu, X., Chen, T.: Video-based Face Recognition Using Adaptive Hidden Markov Models. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin (June 2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goh, R., Liu, L., Liu, X., Chen, T. (2005). The CMU Face In Action (FIA) Database. In: Zhao, W., Gong, S., Tang, X. (eds) Analysis and Modelling of Faces and Gestures. AMFG 2005. Lecture Notes in Computer Science, vol 3723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564386_20
Download citation
DOI: https://doi.org/10.1007/11564386_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29229-6
Online ISBN: 978-3-540-32074-6
eBook Packages: Computer ScienceComputer Science (R0)