Combining sensory and symbolic data for manipulative gesture recognition

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2004, Pages 930-933

  Fritsch, Jannik ^a   Hofemann, Nils ^a   Sagerer, Gerhard ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MANIPULATIVE GESTURE RECOGNITION; SYMBOLIC CONSTRAINTS; SYMBOLIC DATA;

DATA REDUCTION; MOTION ESTIMATION; PROBABILITY; SENSORS; SKIN;

GESTURE RECOGNITION;

EID: 10044280813     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334681     Document Type: Conference Paper

References (7)

1. D. Ayers and M. Shah. Monitoring human behavior in an office environment. In IEEE Workshop on Interpretation of Visual Motion, CVPR, Santa Barbara, CA, June 1998.
2. M. J. Black and A. D. Jepson. A probabilistic framework for matching temporal trajectories: CONDENSATION-based recognition of gestures and expressions. Lecture Notes in Computer Science, 1406:909-924, 1998.
3. A. Bobick. Movement, activity, and action: The role of knowledge in the perception of motion. Phil. Trans. Royal Society London, 3(352):1257-1265, 1997.
4. J. Fritsch. Vision-based Recognition of Gestures with Context. Ph.D. dissertation, Bielefeld University, Technical Faculty, 2003.
5. M. Isard and A. Blake. Contour tracking by stochastic propagation of conditional density. Lecture Notes in Computer Science, 1064:343-356, 1996.
6. Y. Kuniyoshi and H. Inoue. Qualitative recognition of ongoing human action sequences. In Proc. Int. Joint Conf. on Artificial Intelligence, pages 1600-1609, 1993.
7. D. Moore, I. Essa, and M. Hayes. Exploiting human actions and object context for recognition tasks. In Proc. Int. Conf. on Computer Vision, volume 1, pages 80-86, Corfu, 1999.