Abstract
In this article, the problem of real-time hybrid contour/texture tracking for planar objects is addressed. On one hand, a lot of methods have been proposed to track objects from their contours. On the other hand, numerous other tracking algorithms deal with texture. In real situations, objects can unfortunately rarely be divided so clearly. Therefore, an hybrid tracking approach, able to mix texture and contour information, appears to be very useful.
The proposed approach is very simple and efficient. It is based on image differences, which are the differences between object aspects in the image and aspects predicted using a parametric transformation model. Knowing a difference image, the proposed algorithm only need a matrix multiplication to estimate motion parameters. This is possible due to the use of an off-line learning stage.
Chapter PDF
References
D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of non-rigid objects using mean shift. In CVPR00, pages II: 142–149, 2000.
T. Drummond and R. Cipolla. Real-time tracking of complex structures with on-line camera calibration. IVC, 20(5–6):427–433, March 2002.
G.D. Hager and P.N. Belhumeur. Efficient region tracking with parametric models of geometry and illumination. IEEE Trans. Pattern Analysis and Machine Intelligence, 20(10):1025–1039, October 1998.
C. Harris and M. Stephens. A combined corner and edge detector. In 4th Alvey Vision Conference, pages 147–151, Mancherster, 1988.
A. D. Jepson, D.J. Fleet, and T.F. El-Maraghi. Robust on-line appearance models for visual tracking. In IEEE Conference on Computer Vision and Pattern Recognition, pages pp. 415–422, 2001.
F. Jurie and M. Dhome. Real time 3d template matching. In Computer Vision and Pattern Recongition, pages (I)791–797, Hawai, December 2001.
F. Jurie and M. Dhome. Real time template matching. In Proc. IEEE International Conference on Computer vision, pages 544–549, Vancouver, Canada, July 2001.
F. Jurie and M. Dhome. Hyperplane approximation for template matching. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(7):996–1000, 2002.
H. Kollnig and H.H. Nagel. 3d pose estimation by directly matching polyhedral models to gray value gradients. International Journal of Computer Vision, 23(3):283–302, 1997.
M. La Cascia, S. Sclaroif, and V. Athitsos. Fast, reliable head tracking under varying illumination: An approach based on registration of textured-mapped 3d models. PAMI, 22(4):322–336, April 2000.
D.G. Lowe. Robust model-based motion tracking through the integration of search and estimation. International Journal of Computer Vision, 8(2):113–122, 1992.
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
Masson, L., Jurie, F., Dhome, M. (2003). Contour/Texture Approach for Visual Tracking. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_88
Download citation
DOI: https://doi.org/10.1007/3-540-45103-X_88
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40601-3
Online ISBN: 978-3-540-45103-7
eBook Packages: Springer Book Archive