Integrating context-free and context-dependent attentional mechanisms for gestural object reference

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2626, Issue , 2003, Pages 22-33

  Heidemann, Gunther ^a   Rae, Robert ^b   Bekel, Holger ^a   Bax, Ingo ^a   Ritter, Helge ^a  

^a BIELEFELD UNIVERSITY   (Germany)

^b PerFact Innovation   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS;

ATTENTIONAL MECHANISM; CONTEXT DEPENDENT; FOCUS OF ATTENTION; HUMAN MACHINE INTERACTION; OBJECT REFERENCE; POINTING GESTURES; RECOGNITION SYSTEMS; WEARABLE CAMERAS;

PALMPRINT RECOGNITION;

EID: 34548213312     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36592-3_3     Document Type: Conference Paper

References (23)

1. G. Backer, B. Mertsching, and M. Bollmann. Data- and Model-Driven Gaze Control for an Active-Vision System. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(12): 1415-1429, 2001.
2. C. Bauckhage, G. A. Fink, J. Fritsch, F. Kummert, F. Lömker, G. Sagerer, and S. Wachsmuth. An Integrated System for Cooperative Man-Machine Interaction. In IEEE Int.'l Symp. on Comp. Intelligence in Robotics and Automation, Banff, Canada, 2001.
3. V. Bruce and M. Morgan. Violations of Symmetry and Repetition in Visual Patterns. Psychological Review, 61: 183-193, 1954.
4. D. Crevier and R. Lepage. Knowledge-based image understanding systems: A survey. Computer Vision and Image Understanding, 67(2): 161-185, 1997.
5. M. Fislage, R. Rae, and H. Ritter. Using visual attention to recognize human pointing gestures in assembly tasks. In 7th IEEE Int'l Conf. Comp. Vision, 1999.
6. C. Harris and M. Stephens. A Combined Corner and Edge Detector. In Proc. 4th Alvey Vision Conf., pages 147-151, 1988.
7. G. Heidemann, D. Lücke, and H. Ritter. A System for Various Visual Classification Tasks Based on Neural Networks. In A. Sanfeliu et al., editor, Proc. 15th Int'l Conf. on Pattern Recognition ICPR 2000, Barcelona, Volume I, pages 9-12, 2000.
8. G. Heidemann and H. Ritter. Efficient Vector Quantization Using the WTA-rule with Activity Equalization. Neural Processing Letters, 13(1): 17-30, 2001.
9. G. Heidemann and H. Ritter. Visual Checking of Grasping Positions of a Three-Fingered Robot Hand. In G. Dorffner, H. Bischof, and K. Hornik, editors, Proc. ICANN 2001, pages 891-898. Springer-Verlag, 2001.
10. L. Itti, C. Koch, and E. Niebur. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(11): 1254-1259, 1998.
11. I. Jolliffe. Principal Component Analysis. Springer Verlag, New York, 1986.
12. T. Kalinke and U. Handmann. Fusion of Texture and Contour Based Methods for Object Recognition. In IEEE Conf. on Intelligent Transportation Systems 1997, Stuttgart, 1997.
13. T. Kalinke and W. V. Seelen. Entropie als Maß des lokalen Informationsgehalts in Bildern zur Realisierung einer Aufmerksamkeitssteuerung. In B. Jähne et al., editor, Mustererkennung 1996. Springer, Heidelberg, 1996.
14. T. Kohonen. Self-organization and associative memory. In Springer Series in Information Sciences 8. Springer-Verlag Heidelberg, 1984.
15. P. J. Locher and C. F. Nodine. Symmetry Catches the Eye. In A. Levy-Schoen and J. K. O'Reagan, editors, Eye Movements: From Physiology to Cognition, pages 353-361. Elsevier Science Publishers B. V. (North Holland), 1987.
16. J. Moody and C. Darken. Learning with localized receptive fields. In Proc. of the 1988 Connectionist Models Summer School, pages 133-143. Morgan Kaufman Publishers, San Mateo, CA, 1988.
17. D. Reisfeld, H. Wolfson, and Y. Yeshurun. Context-Free Attentional Operators: The Generalized Symmetry Transform. Int'l J. of Computer Vision, 14: 119-130, 1995.
18. H. J. Ritter, T. M. Martinetz, and K. J. Schulten. Neuronale Netze. Addison-Wesley, München, 1992.
19. T. D. Sanger. Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network. Neural Networks, 2: 459-473, 1989.
20. C. Schmid, R. Mohr, and C. Bauckhage. Evaluation of Interest Point Detectors. Int'l J. of Computer Vision, 37(2): 151-172, 2000.
21. C. Theis, I. Iossifidis, and A. Steinhage. Image processing methods for interactive robot control. In Proc. IEEE Roman International Workshop on Robot-Human Interactive Communication, Bordeaux and Paris, France, 2001.
22. M. E. Tipping and C. M. Bishop. Mixtures of probabilistic principal component analyzers. Neural Computation, 11(2): 443-482, 1999.
23. D. Walther, L. Itti, M. Riesenhuber, T. Poggio, and C. Koch. Attentional Selection for Object Recognition - a Gentle Way. In Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV'02), Tübingen, Germany, 2002.