Abstract
In this paper, a new frequency-based approach to motion segmentation is presented. The proposed technique represents the sequence as a spatio-temporal volume, where a moving object corresponds to a three-dimensional object. In order to detect the {}“3D volumes” corresponding to significant motions, a new scheme based on a band-pass filtering with a set of logGabor spatio-temporal filters is used. It is well known that one of the main problems of these approaches is that a filter response varies with the spatial orientation of the underlying signal. To solve this spatial dependency, the proposed model allows to recombine information of motions that has been separated in several filter responses due to its spatial structure. For this purpose, motions are detected as invariance in statistical structure across a range of spatio-temporal frequency bands. This technique is illustrated on real and simulated data sets, including sequences with occlusion and transparencies.
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
Moscheni, F., Bhattacharjee, S., Kunt, M.: Spatiotemporal segmentation based on region merging. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(9), 897–915 (1998)
Tweed, D., Calway, A.: Integrated segmentation and depth ordering of motion layers in image sequences. Image and Vision Computing 20, 709–724 (2002)
Korimilli, K., Sarkar, S.: Motion segmentation based on perceptual organization of spatio-temporal volumes. In: Proceedings.15th International Conference on Pattern Recognition, vol. 3, pp. 844–849 (2000)
Adelson, E.H., Bergen, J.R.: Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A. 2(2), 284–299 (1985)
Liu, H., Hong, M., Herman, M., Chellappa, A.: A general motion model and spatio-temporal filters for computing optical flow. International Journal of Computer Vision 22(2), 141–172 (1997)
Wiskott, L.: Segmentation from motion: combining gabor and mallat wavelets to overcom de aperture and correspondence problem. Pattern Recognition 32, 1751–1766 (1999)
Nestares, O., Miravet, C., Santamaria, J., Navarro, R.: Automatic segmentation of low visibility moving objects through energy analysis of the local 3d spectrum. In: Proceedings of the SPIE 1999, vol. 3642, pp. 13–22 (1999)
Beauchemin, S.S., Barron, J.L.: On the fourier properties of discontinuous motion. Journal of Mathematical Imaging and Vision 13, 155–172 (2000)
Beauchemin, S.S., Barron, J.L.: The frequency structure of 1d occluding image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(2), 200–206 (2000)
Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice Hall, Englewood Cliffs (1988)
Morrone, M.C., Owens, R.A.: Feature detection from local energy. Pattern Recognition Letters 6, 303–313 (1987)
Rodriguez-Sanchez, R., Garcia, J.A., Fdez-Valdivia, J., Fdez-Vidal, X.R.: The rgff representation model: A system for the automatically learned partitioning of ’visual patterns’ in digital images. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(10), 1044–1072 (1999)
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
Chamorro-Martínez, J., Fdez-Valdivia, J., Martinez-Baena, J. (2003). A Spatio-temporal Filtering Approach to Motion Segmentation. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-540-44871-6_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40217-6
Online ISBN: 978-3-540-44871-6
eBook Packages: Springer Book Archive