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Tytuł artykułu

Recognition of articulated robots in the RoboCup domain

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
This paper presents a system for articulated object recognition. The system has been tested in the RoboCup domain [four-legged league], an international competition among autonomous dog-like robots playing soccer. Nevertheless, the proposed method does not depend on any specific domain, but is thought to be applicable to generic objects composed of rigid subparts linked by rotational and/or translational joints.
Rocznik
Strony
311--320
Opis fizyczny
Bibliogr. 15 poz., wykr., il.
Twórcy
autor
autor
autor
  • Computer Science Departament, University of Roma "La Sapienza" via Salaria 113, 00198 Roma, Italy
Bibliografia
  • [1] Pavlidis T.: Structural pattern recognition. Springer-Verlag. Berlin Heidelberg, New York, 1977.
  • [2] Ayache N., Faugeras O. D.: HYPER: A new approach for the recognition and positioning of two-dimensional objects. IEEE Trans. on PAMI, 8. No. 1:44-54, 1986.
  • [3] Huttenlocher D. P., Ullman S.: Recognizing solid objects by alignment with an image. Int. J. of Computer Vision, 5. No. 2:195-212, 1990.
  • [4] Beinglass A., Wolfson H. J.: Articulated object recognition, or: how to generalize the generalized Hough transform. Proceedings of CVPR '91., pages 461-466, 1991.
  • [5] Grimson W. E. L.: Object recognition by computer: The Role of Geometric Constraints. The MIT Press Cambridge, Massachusetts, 1991.
  • [6] Forsyth D. A., Fleck M. M.: Body plans. IEEE Conference on Computer Vision and Pattern Recognition, pages 678-683, 1997.
  • [7] Pavlovic V. I., Sharma R., Huang T. S.: Visual interpretation of hand gesture for human-computer interaction. IEEE Trans. On PAMI, 19 No. 7:677-695, 1997.
  • [8] Moeslund T. B., Granum E.: A survey of computer vision-based human motion capture. Computer Vision and Image Understanding, 81:231-268, 2001.
  • [9] Yang M.-H., Kriegman D. J., Ahuja N.: Detecting faces in images: A survey. IEEE Trans. Pattern Anal. Mach. Intell., 24(l):34-58, 2002.
  • [10] Estivill-Castro V., Lovell N.: Improved object recognition: the RoboCup 4-legged league. Proc. of 4th Int. Conf. IDEAL, 2003.
  • [11] Ramanam D., Forsyth D. A.: Finding and tracking people from the bottom up. CVPR 2003, Madison, WI, 2003.
  • [12] Röfer T., Dahm I., Düffert U., Hoffmann J., Jüngel M., Kallnik M., Lötzsch M., Risler M., Stelzer M., Ziegler J.: Germanteam 2003. http://www.robocup.de/germanteam/gt2003.pdf
  • [13] Kaufmann U., Mayer G., Kraetzschmar G., and Palm G.: Visual robot detection in RoboCup using neural networks. RoboCup Symposium 2004, July 4-5, Lisboa, Portugal, 2004.
  • [14] Leibe, Leonardis, Schiele: Combined object categorization and segmentation with an implicit shape model. ECCV, 2004.
  • [15] Gaeta M., Iovane G., Sangineto E.: A survey on nonrigid object recognition approaches and their applications to face detection and human body detection. J. of Information and Optimization Sciences (JIOS), (ISSN: 0252-2667), 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0025-0008
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