Abstract
Digital video stabilization approaches typically degrade their performances in presence of periodic patterns. Any kind of matching between consecutive frames is not usually able to work in presence of these kind of signals: the motion estimation engine is deceived and its performances degrade abruptly. In this paper we propose a fast fuzzy classifier able to recognize periodic and aperiodic pattern in the images that takes into account the peculiarities of digital video stabilization. Finally, the proposed classifier can be used as a filtering module in a block based video stabilization approach.
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
Lukac, R.: Single-Sensor Imaging: Methods and Applications for Digital Cameras. CRC Press, Boca Raton (2008)
Battiato, S., Bruna, A.R., Puglisi, G.: A robust video stabilization system by adaptive motion vectors filtering. In: Proc. of ICME, Hannover, Germany (June 2008)
Battiato, S., Gallo, G., Puglisi, G., Scellato, S.: SIFT features tracking for video stabilization. In: Proc. of ICIAP, Modena (Italy), pp. 825–830 (September 2007)
Chang, J., Hu, W., Cheng, M., Chang, B.: Digital image translational and rotational motion stabilization using optical flow technique. IEEE Transactions on Consumer Electronics 48(1) (February 2002)
Mercenaro, L., Vernazza, G., Regazzoni, C.: Image stabilization algorithms for video-surveillance application. In: Proc. of ICIP, Thessaloniki (Greece) (October 2001)
Tico, M., Alenius, S., Vehvilainen, M.: Method of motion estimation for image stabilization. In: Proc. of IEEE ICASSP, Toulouse (France) (May 2006)
Hays, J.H., Leordeanu, M., Efros, A.A., Liu, Y.: Discovering texture regularity as a higher-order correspondence problem. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 522–535. Springer, Heidelberg (2006)
Liu, Y., Lin, W.C., Hays, J.H.: Near regular texture analysis and manipulation. ACM Transactions on Graphics 23(3), 368–376 (2004)
Haupt, R.L., Haupt, S.E.: Practical Genetic Algorithms. John Wiley & Sons, Hoboken (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Puglisi, G., Battiato, S. (2009). Periodic Pattern Detection for Real-Time Application. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_34
Download citation
DOI: https://doi.org/10.1007/978-3-642-02282-1_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02281-4
Online ISBN: 978-3-642-02282-1
eBook Packages: Computer ScienceComputer Science (R0)