Abstract
We describe the prototype of a face tracker capable of real time tracking of persons moving about freely in a room. The system consists of a stereo camera pair mounted on a computer controlled pan-tilt unit, all connected to a workstation with frame grabber. The face tracker has a color based skin detector and a simple automatically adapting 2D face model for robust and fast face localization, allowing the face tracking vision module to operate at video speed (25 frames/sec). For synchronization of image acquisition and camera movement a model of the kinematics of the head system has been developed.
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Literatur
J. Foley, A. Van Dam, S. Feiner, J. Hughes, Computer graphics: Principles and Practice, Addison-Wesley, 1990.
R. Gonzalez, R. Woods, Digital Image Processing, Addison-Wessley, 1992.
A. Blake, A. Yuille, Active Vision, MIT Press, 1992.
K. Narendra, S. Mukhopadhyay, Adaptive Control of Nonlinear Multivariable Systems Using Neural Networks, Neural Networks, Vol. 7(5), pp. 737–752, 1994
Turk, M.A.; Pentland, A.P.: Face Recognition Using Eigenfaces, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, C VPR-91, 1991
Bichsel, Martin: Strategies of Robust Object Recognition for the Automatic Identification of Human Faces, Dissertation Nr. 9467, ETH Zürich, 1991
Würtz, R.: Multilayer Dynamic Link Networks for Establishing Image Point Correspondences and Visual Object Recognition, Dissertation, Ruhr-Univ. Bochum, 1994
Brunelli, R.; Poggio, T.: Face Recognition: Features versus Templates, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 10, 1993
Beymer, David J.: Face Recognition Under Varying Pose, MIT, A.I. Memo No. 1461, 1993
Schyns, Philippe G.; Bülthoff, Heinrich H.: Conditions for Viewpoint Dependent Face Recognition, MIT, A.I. Memo No. 1432, 1993
Denzler, J; Bess, R; Honegger, J; Niemann, H; Paulus, D: Learning, Tracking and recognition of 3D Objects, IROS’94, Munich, 1994
Bregler, C.; König, Y.:”Eigenlips” for Robust Speech Recognition, Proc. Int. Conf. on Acoustics, Speech, and Signal Processing (lEEE-ICASSP), 1994
Stork, D.G.; Wolff, G. J.; Levine, E.: Neural network lipreading system for improved speech recognition, International Joint Conference on Neural Networks, 1992.
Prasad, K.V.; Stork, D.G.; Wolif, G. J.: Preprocessing video images for neural learning of lipreading, Ricoh Calif. Res. Center, tech report No. TR93–26, 1993
Wolff, G.J.; Prasad, K.V.; Stork, D.G.; Hennecke, M.: Lipreading by neural networks: Visual preprocessing, learning and sensory integration, Neural Inf. Process. Systems, Vol. 6, J. Cowan, G. Tesauro, J. Alspector (eds.), MIT Press, 1994
W. von Seelen, S. Bohrer, C. Engels, W. Gillner, H. Janssen, H. Neven, G. Schöner, W. Theimer, B. Völpel, Visual Information Processing in Neural Architecture, in W.G. Kropatsch, H. Bischof, Mustererkennung 1994, Informatik Xpress 5, 1994.
R. Schuster, Adaptive Modeling in Color Images, in W.G. Kropatsch, H. Bischof, Mustererkennung 1994, Informatik Xpress 5, 1994, pp. 161–169.
Duchnowski, P.; Meier, U.; Waibel, A.: See Me, Hear Me: Integrating Automatic Speech Recognition and Lip-Reading, International Conference on Spoken Language Processing, ICSLP, 1994
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Sommerau, M., Mamier, G., Zell, A., Vogt, M., Levi, P. (1995). Fast Face Localization and Tracking with Model-Based Time Synchronization of a Head System. In: Sagerer, G., Posch, S., Kummert, F. (eds) Mustererkennung 1995. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79980-8_61
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DOI: https://doi.org/10.1007/978-3-642-79980-8_61
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