Abstract
For any visually-based interaction between persons and acting systems within a real-world environment the localization of a user by the system is a necessary condition. The presented work deals with this visual localization problem of a user concretely referred to the autonomous mobile robot system MILVA of our department. Since this system is applied under real-world conditions especially for the localization some proper techniques are needed which have an adequate robustness. In our opinion, this requires the combination of several components of saliency towards a multi-cue approach, consisting of structure- and color-based features [2].
This paper introduces one of them: the localization based on a typical shape of contour. A simple contour shape prototype model consists of an arrangement of oriented filters doing a piecewise approximation of the upper shape (head, shoulder) of a frontally aligned person. Applying such filter arrangement in a multiresolution manner, this leads to a robust localization of frontally aligned persons even in depth. The central problem of selecting the most promising (salient) image region is treated by means of a three-dimensional dynamic neural field performing a dynamic winner-take-all process (WTA, [1,6]).
After a successful localization of a person one can start a more detailed analysis of the gesture’s meaning: besides the recognition of static gestures we also concentrate on the acquisition and later the recognition of dynamic gestures.
TMR Marie Curie EU Fellowship # ERB FMBI CT 97 2613
Thuringian Ministry of Science, Research and Culture: GESTIK-Project
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amari S.: Dynamics of Pattern Formation in Lateral-Inhibition Type Neural Fields. Biol. Cyb., 27:77–87, 1977.
Boehme H.-J., Braumann U.-D., Brakensiek A., Corradini A., Krabbes M. and Gross H.-M.: User Localization for Visually-based Human-Machine-Interaction, In Proc. of the Third IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp. 486–491, 1998
Davis, J. W. and Bobick, A. F.: The Representation and Recognition of Action Using Temporal Templates. In Proc. of the IEEE Computer Society Conference on Comp. Vis. and Patt. Rec., pp. 928–934, 1997.
Jähne, B.: Digital Image Processing Springer-Verlag, 1995.
Jones, J. P. and Palmer, L. A.: An Evaluation of the Two-Dimensional Gabor Filter Model of Simple Receptive Fields in Cat Striate Cortex. J. Neurophysiol., 58(6):1233–1258, 1987.
Kaski, S. and Kohonen, T.: WTA Networks for Physiological Models of Competitive Learning. Neural Networks, 7(6/7):973–984, 1994.
Koenderink, J. J. and v. Doorn, A. J.: Receptive Field Families. Biol. Cyb., 63:291–297, 1990.
Koffka, K.: Principles of the Gestalt Psychology. Brace & World, 1935.
Oren, M., Papageorgiou, C., Sinha, P., Osuna, E., and Poggio, T.: Pedestrian Detection Using Wavelet Templates. In Proc. of the IEEE Computer Society Conference on Comp. Vis. and Patt. Rec., pp. 193–199, 1997.
Reichardt, W., Poggio, T., and Hausen, K.: Figure-Ground Discrimination by Relative Movement in the Visual System of the Fly — Part II: Towards a Neural Circuitry. Biol Cyb., 46(suppl.):1–30, 1983.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag London Limited
About this paper
Cite this paper
Corradini, A., Braumann, UD., Brakensiek, A., Krabbes, M., Boehme, HJ., Gross, HM. (1999). Visual Person Localization with Dynamic Neural Fields: Towards a Gesture Recognition System. In: Marinaro, M., Tagliaferri, R. (eds) Neural Nets WIRN VIETRI-98. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0811-5_19
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0811-5_19
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1208-2
Online ISBN: 978-1-4471-0811-5
eBook Packages: Springer Book Archive