3D Reconstruction of Soccer Sequences Using Non-calibrated Video Cameras
We present a global approach that enables the production of 3D soccer sequences from non-calibrated video cameras. Our system can produce a 3D animated model of the scene from a single non-calibrated moving camera (a TV sequence for example). The results presented here are very encouraging even with a single camera approach and will probably improve with the future introduction of multiple images that will help resolving occlusion issues and integrating into a single model information coming from various locations on the field. The key point of our approach is that it doesn’t need any camera calibration and it still works when the camera parameters vary along the process. Details on the registration and tracking processes are given as well as the description of the “Virtual Reality” system used for displaying the resulting animated model.
KeywordsSimulFoot project colour image processing tracking virtual reality 3D reconstruction
Unable to display preview. Download preview PDF.
- [LeTroter04]Le Troter, A., Mavromatis, S., Sequeira, J.: Soccer field detection in video images using color and spatial coherence. In: Campilho, A., Kamel, M. (eds.) ICIAR 2004. LNCS, vol. 3211, Springer, Heidelberg (2004)Google Scholar
- [LeTroter05]Le Troter, A., Bulot, R., Boi, J-M., Sequeira, J.: Arc of ellipse detection for video image registration. In: SiPS 2005, Athens, Greece (November 2005)Google Scholar
- [Mavromatis03]Mavromatis, S., Baratgin, J., Sequeira, J.: Analyzing team sport strategies by means of graphical simulation. In: ICISP , Agadir, Morroco (2003)Google Scholar
- [Mundy92]Mundy, J., Zisserman, A.: Geometric Invariance in Computer Vision. MIT Press, Cambridge, Massachusetts (1992)Google Scholar
- [Needham01]Needman, C.J., Boyle, R.D.: Tracking multiple sport players through occlusion, congestion and scale. In: British Machine Vision Conference, pp. 93–102 (2001)Google Scholar
- [OpenCV]Intel corporation, open Source Computer Vision Library. http://intel.com/research/mrl/research/opencv
- [Ripoll03]Ripoll, H., Aubert, C., Mavromatis, S.: Mechanisms involved in the change of point of view into a 3d-image simulation in sport. In: FEPSAC, Copenhague (2003)Google Scholar
- [Schroeder98]Schroeder, W., et al.: The Visualization Toolkit - An Object Oriented Approach to 3D Graphics, 2nd edn. Prentice-Hall, Englewood Cliffs (1998)Google Scholar
- [Taki96]Taki, T., Hasegawa, J., Fukumura, T.: Development of motion analysis system for quantitative evaluation of team work in soccer game. In: Proc. Internat. Conf. on Image Processing, pp. 815–818 (1996)Google Scholar