Towards a real-time and distributed analysis system for face detection,
pose estimation and face-related features
J. Nesvadba1, A. Hanjalic2, P. Fonseca1,
B. Kroon1,2, H. Celik1,2 and E. Hendriks2
1Philips Research,
Eindhoven, The Netherlands
2Delft University of Technology, Delft, The Netherlands
The evolution of storage capacity, computation power and connectivity
in Consumer-Electronics(CE)-, in-vehicle-, medical-IT- and on-chip- networks
allow the implementation of grid-computing-based real-time and distributed
face-related analysis systems. A combination of facial-related analysis
components - Service Units (SUs) such as omni-directional face
detection, pose estimation, face tracking and facial feature localization
provide a necessary set of basic visual descriptors required for advanced
facial and human-related feature analysis SUs, such as face recognition
and facial-based mood interpretation. Smart reuse of the available computational
resources across individual CE devices or in-vehicle- and medical-IT-
networks in combination with descriptor databases facilitate the establishment
of a powerful analytical system applicable for various domains and applications.
Paper presented
at Measuring Behavior 2005
, 5th International Conference on Methods and Techniques
in Behavioral Research, 30 August - 2 September 2005, Wageningen, The
Netherlands.
© 2005 Noldus
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