Abstract
This article proposes a global approach to the rectification of sport sequences, to estimate the mapping from the video images to the terrain in the ground plane without using position sensors on the TV camera. Our strategy relies on three complementary techniques: (1) initial homography estimation using line-feature matching, (2) homography estimation with line-feature tracking, and (3) incremental homography estimation through point-feature tracking. Together, they allow continuous homography estimation over time, even during periods where the video does not contain sufficient line features to determine the homography from scratch. We illustrate the complementarity of the 3 techniques on a set of challenging examples.
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.
References
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Ren, J., Orwell, J., Jones, G., Xu, M.: Real-time 3D soccer ball tracking from multiple cameras. In: BMVC 2004. Proc. of the British Machine Vision Conf, pp. 829–838 (2004)
Farin, D., Krabbe, S., de With, P., Effelsberg, W.: Robust camera calibration for sport videos using court models. SPIE Electronic Imaging 5307 (2004)
Hayet, J., Piater, J., Verly, J.: Fast 2D model-to-image registration using vanishing points for sports video analysis. In: ICIP 2005. Proc. of IEEE Int. Conf. on Image Processing, Genoa, Italy, vol. 3, pp. 417–420 (2005)
Lihe, Q., Luo, Y.: Automatic camera calibration for images of soccer match. In: Proc. of the Int. Conf. on Computational Intelligence, pp. 482–485 (2004)
Reid, I.D., Zisserman, A.: Goal-directed video metrology. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1065, pp. 647–658. Springer, Heidelberg (1996)
Okuma, K., J., L.J., Lowe, D.G.: Automatic rectification of long image sequences. In: Okuma, K. (ed.) ACCV 2004. Proc. of the Asian Conf. on Computer Vision (2004)
Kim, H., Hong, K.: Robust image mosaicing of soccer videos using self-calibration and line tracking. Pattern Analysis and Applications 4, 9–19 (2001)
Drummond, T., Cipolla, R.: Real-time tracking of complex structures with on-line camera calibration. In: BMVC 1999. Proc. of the British Machine Vision Conf, pp. 574–583 (1999)
Brown, M., Szeliski, R., Winder, S.: Multi-image matching using multi-scale oriented patches. In: CVPR 2005. Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 510–517. IEEE Computer Society Press, Los Alamitos (2005)
Haralick, R.: Propagating covariance in computer vision. In: Proc. of ECCV Workshop of Performance Characteristics of Vision Algorithms, pp. 1–12 (1996)
Criminisi, A.: Accurate Visual Metrology from Single and Multiple Uncalibrated Images. PhD thesis, University of Oxford, Dept. Engineering Science (1999)
Papadopoulo, T., Lourakis, M.: Estimating the jacobian of the singular value decomposition: Theory and applications. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 554–570. Springer, Heidelberg (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hayet, JB., Piater, J. (2007). On-Line Rectification of Sport Sequences with Moving Cameras. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_70
Download citation
DOI: https://doi.org/10.1007/978-3-540-76631-5_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76630-8
Online ISBN: 978-3-540-76631-5
eBook Packages: Computer ScienceComputer Science (R0)