Zusammenfassung
Gestenbedienung gewinnt für die Mensch-Maschine Kommunikation zunehmend an Bedeutung. Damit wird eine intuitivere Interaktion zwischen Benutzer und Maschine angestrebt. Diese Arbeit beschreibt einen videobasierten Echtzeit-Gestenerkenner für den Einsatz in Kraftfahrzeugen. Als Anwendung wurde dazu die Interaktion mit Nachrichtenspeichern für Verkehrsfunk und Email implementiert. Spezielle, an die hohen Anforderungen angepasste Methoden der Bildverarbeitung und der Mustererkennung bilden die Grundlage des Systems.
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Literaturangaben
U. Bröckl-Fox. Untersuchung neuer, gestenbasierter Verfahren ftir die 3D-Interaktion. PhD thesis, Verlag Shaker, 1995.
C. Cedras, M. Shah. Motion-Based Recognition: A Survey. Image and Vision Computing, vol. 13, pp. 135–145, 1995.
C. Glasbey. An Analysis of Histogram-Based Thresholding Algorithms. Graphical Models and Image Processing, vol. 55, no. 6, pp. 532–537, 1993.
H. Hienz, K.-F. Kraiss, B. Bauer. Continuous Sign Language Recognition using Hidden Markov Models. Proceedings of the Second International Conference on Multimodal Interfaces, Hong Kong - China, pp.IV10-IV15, 1999.
M.-K. Hu. Visual Pattern Recognition by Moment Invariants. IRE Transactions on Information Theory, vol. IT-8, pp. 179–187, Feb. 1962.
X.-D. Huang, Y. Ariki, M. Jack. Hidden Markov Models for Speech Recognition. Edinburgh University Press, 1990.
K. Imagawa, S. Lu., S. Igi. Color-Based Hands Tracking System for Sign Language Recognition. Proceedings of the Third International Conference on Automatic Face and Gesture Recognition, Nara - Japan, pp. 462-467, 1998.
J. Kittler, M. Hatef, R.P.W. Duin, J. Matas. On Combining Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.20, No.3, pp. 226–239, 1998.
S. Müller, S. Eickeler, G. Rigoll. Crane Gesture Recognition Using Pseudo 3-D Hidden Markov Models. Proceedings of the Fourth International Conference on Automatic Face and Gesture Recognition, Grenoble - France, pp. 398-402, 2000.
V. Pavlovic, R. Sharma, T. Huang. Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 677–695, 1997.
Y. Sato, Y. Kobayashi. Fast Tracking of Hands and Fingertips in Infrared Images for Augmented Desk Interface. Proceedings of the Fourth International Conference on Automatic Face and Gesture Recognition, Grenoble - France, pp. 462-467, 2000.
Fa. Siemens. Product Information for Siemens Virtual Touchscreen - SiVit: http://www.atd.siemens.de/td_electronic/produkte/sivit/sivit.htm
M. Sonka, V. Hlavac, R. Boyle. Image Processing, Analysis, and Machine Vision. Brooks/Cole Publishing Company, 2nd Edition, 1999.
T. Starner, A. Pentland. Visual Recognition of American Sign Language Using Hidden Markov Models. International Workshop on Automatic Face and Gesture Recognition, Zürich - Switzerland, pp. 189-194,1995.
J. Triesch, C.v.d. Malsburg. A Gesture Interface for Human-Robot-Interaction. Proceedings of the Third International Conference on Automatic Face and Gesture Recognition, Nara - Japan, pp. 546-551, 1998.
Y. Zhu, H. Ren, G. Xu, X. Lin. Toward Real-time Human-Computer Intertaction with Continuous Dynamic Hand Gestures. Proceedings of the Fourth International Conference on Automatic Face and Gesture Recognition, Grenoble - France, pp. 544-549,2000.
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Akyol, S., Canzler, U., Bengler, K., Hahn, W. (2000). Gestensteuerung für Fahrzeugbordsysteme. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_18
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DOI: https://doi.org/10.1007/978-3-642-59802-9_18
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