Recognizing complex, parameterized gestures from monocular image sequences

2008 8th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2008

Volumn , Issue , 2008, Pages 687-692

  Axenbeck, Tobias ^a   Bennewitz, Maren ^a   Behnke, Sven ^b   Burgard, Wolfram ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; HUMAN COMPUTER INTERACTION; INTELLIGENT ROBOTS;

COMPACT REPRESENTATIONS; MONOCULAR IMAGE SEQUENCES; PARAMETERIZED; ROBOTIC ASSISTANTS;

ROBOTICS;

EID: 63549110315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHR.2008.4755973     Document Type: Conference Paper

References (25)

1. M. Bennewitz, F. Faber, D. Joho, and S. Behnke, "Fritz - A humanoid communication robot," in Proc. of the IEEE Int. Symposium on Robot and Human Interactive Communication (ROMAN), 2007.
2. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," in Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), 2001.
3. C. Martin, F.-F. Steege, and H.-M. Gross, "Estimation of pointing poses for visual instructing mobile robots under real-world conditions," in Proc. of the 3rd European Conf. on Mobile Robots (ECMR), 2007.
4. K. Nickel and R. Stiefelhagen, "Detection and tracking of 3D-pointing gestures for human-robot-interaction," in Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2004.
5. K. Irie, N. Wakamura, and K. Umeda, "Construction of an intelligent room based on gesture recognition," in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2004.
6. A. Wilson and A. Bobick, "Parametric hidden Markov models for gesture recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 9, pp. 884-900, 1999.
7. Z. Li, N. Hofemann, J. Fritsch, and G. Sagerer, "Hierarchical modeling and recognition of manipulative gesture," in Proc. of the Workshop on Modeling People and Human Interaction at the IEEE Int. Conf. on Computer Vision, 2005.
8. G. Rigoll, A. Kosmala, and S. Eickeler, "High performance real-time gesture recognition using hidden Markov models," in Proc. of the Int. Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction, 1998.
9. J. A. Montero and L. E. Sucar, "Feature selection for visual gesture recognition using hidden Markov models," in Proc. of the Fifth Mexican Int. Conf. in Computer Science, 2004.
10. J. Yamato, J. Ohya, and K. Ishii, "Recognizing human action in timesequential images using hidden markov model," in Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), 1992.
11. A. Just, O. Bernier, and S. Marcel, "HMM and IOHMM for the recognition of mono- and bi-manual 3D hand gestures," in Proc. of the British Machine Vision Conf. (BMVC), 2004.
12. S. Lee, "Automatic gesture recognition for intelligent human-robot interaction," in Proc. of the 7th Int. Conf. on Automatic Face and Gesture Recognition (FG), 2006.
13. H.-D. Yang, A.-Y. Park, and S.-W. Lee, "Robust spotting of key gestures from whole body motion sequence," in Proc. of the 7th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG), 2006.
14. T. Asfour, F. Gyarfas, P. Azad, and R. Dillmann, "Imitation learning of dual-arm manipulation tasks in humanoid robots," in Proc. of the IEEE-RAS Int. Conf on Humanoid Robots (Humanoids), 2006.
15. S. Calinon and A. Billard, "Stochastic gesture production and recognition model for a humanoid robot," in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2004.
16. T. Inamura, Y. Nakamura, I. Toshima, and H. Tanie, "Embodied symbol emergence based on mimesis theory," The Int. Journal of Robotics Research (IJRR), vol. 23, no. 4-5, pp. 363-377, 2004.
17. M. Kolsch and M. Turk, "Robust hand detection," in Proc. of the Sixth IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG), 2004.
18. Q. Chen, N. Georganas, and E. Petriu, "Real-time vision-based hand gesture recognition using haar-like features," in Proc. of the IEEE Conf. on Instrumentation and Measurement Technology, 2007.
19. E.-J. Ong and R. Bowden, "A boosted classifier tree for hand shape detection," in Proc. of the Sixth IEEE Int. Conf on Automatic Face and Gesture Recognition (FG), 2004.
20. R. Lienhart and J. Maydt, "An extended set of haar-like features for rapid object detection," in Proc. of the IEEE Computer Society Conf on Computer Vision and Pattern Recognition (CVPR), 2002.
21. Intel, "Open source computer vision library," http://www.intel.com/technology/computing/opencv/, 2007.
22. H. Kuhn, "The hungarian method for the assignment problem," Naval Research Logistics Quarterly, vol. 2, no. 1, pp. 83-97, 1955.
23. M. Bennewitz, F. Faber, D. Joho, S. Schreiber, and S. Behnke, "Integrating vision and speech for conversations with multiple persons," in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2005.
24. T. Vatahska, M. Bennewitz, and S. Behnke, "Feature-based head pose estimation from images," in Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2007.
25. A. Viterbi, "Error bounds for convolutional codes and an asymptotically optimum decoding algorithm," IEEE Trans. on Information Theory, vol. 13, no. 2, pp. 260-269, 1967.