Vision-based hand motion capture using genetic algorithm

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

Volumn 3005, Issue , 2004, Pages 289-300

  Cui, Jin Shi ^a   Sun, Zeng Qi ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); GENETIC ALGORITHMS; GESTURE RECOGNITION; HUMAN COMPUTER INTERACTION; MOTION ANALYSIS;

CONFIGURATION SPACE; DEGREE OF FREEDOM (DOF); HAND POSE ESTIMATIONS; HUMAN COMPUTER INTERFACES; MODEL BASED OPTIMIZATION; MOTION TRACKING METHODS; OPTIMIZATION APPROACH; VISION-BASED APPROACHES;

ALGORITHMS;

EID: 35048854680     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24653-4_30     Document Type: Article

References (15)

1. Y. Wu and T. S. Huang. Hand modeling, analysis, and recognition. IEEE Signal Processing Magazine. 2001.
2. V. Athitsos and S. Sclaroff. Estimating 3D hand pose from a cluttered image. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2003.
3. J. Rehg. Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking. PhD thesis. Electrical and Computer Eng., Carnegie Mellon University. 1995.
4. N. Kenichi and S. Hideo. Human hand tracking from binocular image sequences. In IEEE 1996.
5. th Int. Conf. On Computer Vision, volume I, pages 606-611, Corfu, Greece, Sept. 1999.
6. Y. Wu and T.S. Huang. View-independent recognition of hand postures. In CVPR, volume 2, pages 88-94, 2000.
7. R. Rosales, V. Athitsos, L. Sigal, and S. Sclaroff. 3D hand pose reconstruction using specialized mappings. In ICCV, volume 1, pages 378-385, 2001.
8. S. Lu, D. Metaxas, D. Samaras and J. Oliensis. Using multiple cues for hand tracking and model refinement. In Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2003.
9. N. Shimada, Y. Shirai, Y. Kuno and J. Miura. Hand gesture estimation and model refinement using monocular camera - ambiguity limitation by inequality constraints. FGR. 1998.
10. B. Stenger, P.R.S. Mendonc and R. Cipolla. Model-based 3D tracking of an articulated hand. In Proceedings Computer Vision and Pattern Recognition, 2001.
11. Y. Wu, J. Lin, and T. Huang. Capturing natural hand articulation. In Proceedings International Conference on Computer Vision, volume 2, pages 426-432, 2001.
12. J. Lee and T. L. Kunii. Molde-based analysis of hand posture. In IEEE Computer Graphics and Applications, 1995.
13. G. Borgerors. Hierarchical chamfer Matching: A parametric edge matching algorithm. IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 10, No. 6, pp. 849-865, November 1988.
14. M. Isard and A. Blake. CONDENSATION - conditional density propagation for visual tracking. Int. J. Computer Vision. 1998, 29(1): 5-28.
15. D. A. Forsyth and J. Ponce. Computer Vision: A Mordern Approach. Prentice Hall, 2002.