Abstract
Within this paper a technique for model-based 3D hand tracking is presented. A hand model is built from a set of truncated quadrics, approximating the anatomy of a real hand with few parameters. Given that the projection of a quadric onto the image plane is a conic, the contours can be generated efficiently. These model contours are used as shape templates to evaluate possible matches in the current frame. The evaluation is done within a hierarchical Bayesian filtering framework, where the posterior distribution is computed efficiently using a tree of templates. We demonstrate the effectiveness of the technique by using it for tracking 3D articulated and non-rigid hand motion from monocular video sequences in front of a cluttered background.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
An, K.N., Chao, E.Y., Cooney, W.P., Linscheid, R.L.: Normative model of human hand for biomechanical analysis. J. Biomechanics 12, 775–788 (1979)
Athitsos, V., Sclaroff, S.: Estimating 3D hand pose from a cluttered image. In: Proc. Conf. Computer Vision and Pattern Recognition, Madison, USA (June 2003) (to appear)
Barrow, H.G., Tenenbaum, J.M., Bolles, R.C., Wolf, H.C.: Parametric correspondence and chamfer matching: Two new techniques for image matching. In: Proc. 5th Int. Joint Conf. Artificial Intelligence, pp. 659–663 (1977)
Borgefors, G.: Hierarchical chamfer matching: A parametric edge matching algorithm. IEEE Trans. Pattern Analysis and Machine Intell. 10(6), 849–865 (November 1988)
Cipolla, R., Giblin, P.J.: Visual Motion of Curves and Surfaces. Cambridge University Press, Cambridge (1999)
Cross, G., Zisserman, A.: Quadric reconstruction from dual-space geometry. In: Proc. 6th Int. Conf. on Computer Vision, Bombay, India, pp. 25–31 (January 1998)
Gavrila, D.M.: Pedestrian detection from a moving vehicle. In: Proc. 6th European Conf. on Computer Vision, Dublin, Ireland, vol. II, pp. 37–49 (June/July 2000)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Heap, A.J., Hogg, D.C.: Towards 3-D hand tracking using a deformable model. In: 2nd International Face and Gesture Recognition Conference, Killington, USA, pp. 140–145 (October 1996)
Huttenlocher, D.P., Noh, J.J., Rucklidge, W.J.: Tracking non-rigid objects in complex scenes. In: Proc. 4th Int. Conf. on Computer Vision, Berlin, pp. 93–101 (May 1993)
Moeslund, T.B., Granum, E.: A survey of computer vision-based human motion capture. Computer Vision and Image Understanding 81(3), 231–268 (2001)
Olson, C.F., Huttenlocher, D.P.: Automatic target recognition by matching oriented edge pixels. Transactions on Image Processing 6(1), 103–113 (1997)
Rehg, J.M.: Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking. PhD thesis, Carnegie Mellon University, Dept. of Electrical and Computer Engineering (1995) TR CMU-CS-95-138
Shimada, N., Kimura, K., Shirai, Y.: Real-time 3-D hand posture estimation based on 2-D appearance retrieval using monocular camera. In: Proc. Int. WS. RATFG-RTS, Vancouver, Canada, pp. 23–30 (July 2001)
Stenger, B., Mendonça, P.R.S., Cipolla, R.: Model based 3D tracking of an articulated hand. In: Proc. Conf. Computer Vision and Pattern Recognition, vol. II, Kauai, USA, pp. 310–315 (December 2001)
Stenger, B., Thayananthan, A., Torr, P.H.S., Cipolla, R.: Hand tracking using a tree-based estimator. Technical Report CUED/F-INFENG/TR 456, University of Cambridge, Department of Engineering (2003)
Thayananthan, A., Stenger, B., Torr, P.H.S., Cipolla, R.: Shape context and chamfer matching in cluttered scenes. In: Proc. Conf. Computer Vision and Pattern Recognition, Madison, USA (June 2003) (to appear)
Toyama, K., Blake, A.: Probabilistic tracking with exemplars in a metric space. Int. Journal of Computer Vision, 9–19 (June 2002)
Wu, Y., Huang, T.S.: Capturing articulated human hand motion: A divide-and conquer approach. In: Proc. 7th Int. Conf. on Computer Vision, Corfu, Greece, vol. I, pp. 606–611 (September 1999)
Wu, Y., Lin, J.Y., Huang, T.S.: Capturing natural hand articulation. In: Proc. 8th Int. Conf. on Computer Vision, Vancouver, Canada, vol. II, pp. 426–432 (July 2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cipolla, R., Stenger, B., Thayananthan, A., Torr, P.H.S. (2003). Hand Tracking Using a Quadric Surface Model and Bayesian Filtering. In: Wilson, M.J., Martin, R.R. (eds) Mathematics of Surfaces. Lecture Notes in Computer Science, vol 2768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39422-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-540-39422-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20053-6
Online ISBN: 978-3-540-39422-8
eBook Packages: Springer Book Archive