Abstract
In this article a background maintenance model defined by a finite set of codebook vectors in the spatial-range domain is proposed. The model represents its current state by a foreground and a background set of codebook vectors. Algorithms that dynamically update these sets by adding and removing codebook vectors are described. This approach is fundamentally different from algorithms that maintain a background representation at the pixel level and continously update their parameters. The performance of the model is demonstrated and compared to other background maintenance models using a suitable benchmark of video sequences.
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
Toyama, K., Krumm, J., Brumitt, B., Meyers, B.: Wallflower: Principles and practice of background maintenance. In: Proceedings of the IEEE International Conference on Computer Vision (1999)
Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(5), 603–619 (2002)
Kottow, D., Köppen, M., Ruiz del Solar, J.: Temporal dynamical interactions between multiple layers of local image features for event detection in video sequences. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 223–231. Springer, Heidelberg (2003)
Li, L., Leung, M.: Integrating intensity and texture differences for robust change detection. IEEE Transactions on Image Processing 11(2) (2002)
Oliver, N., Rosario, B., Pentland, A.: A bayesian computer vision system for modeling interactions. In: Christensen, H.I. (ed.) ICVS 1999. LNCS, vol. 1542, pp. 255–272. Springer, Heidelberg (1998)
Stauffer, C., Grimson, W.E.L.: Learning patterns of activity using real-time tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 747–757 (2000)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the IEEE International Conference on Computer Vision (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kottow, D., Köppen, M., Ruiz-del-Solar, J. (2004). A Background Maintenance Model in the Spatial-Range Domain. In: Comaniciu, D., Mester, R., Kanatani, K., Suter, D. (eds) Statistical Methods in Video Processing. SMVP 2004. Lecture Notes in Computer Science, vol 3247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30212-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-30212-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23989-5
Online ISBN: 978-3-540-30212-4
eBook Packages: Springer Book Archive