Abstract
This paper proposes a comparison of two motion estimation algorithms for crowd scene analysis in video sequences. The first method uses the local gradient supported by neighbouring topology constraints. The second method makes use of descriptors extracted from points lying at the maximum curvature along Canny edges. Performance is evaluated using real-world video sequences, providing the reader with a quantitative comparison of the two methods.
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
Cohen, I., Ayache, N., Sulger, P.: Tracking points on deformable objects using curvature information. In: Proceedings of the Second European Conference on Computer Vision (1992)
Lowe, D.G.: Object Recognition from Local Scale-Invariant Features(ICCV 1999). In: Seventh International Conference on Computer Vision, vol. 2 (1999)
Gouet, V., Boujemaa, N.: About optimal use of color points of interest for content-based image retrieval. Technical Report, RP–4439 (2002)
Gabriel, P., Hayet, J., Piater, J., Verly, J.: Object tracking using color interest points. In: Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 159–164 (2005)
Mathes, T., Piater, J.: Robust non-rigid object tracking using point distribution models. In: Proc. of British Machine Vision Conference (BMVC) vol. 2 (2005)
Zhan, B., Remagnino, P., Velastin, S., Bremond, F., Thonnat, M.: Matching gradient descriptors with topological constraints to characterise the crowd dynamics. In: VIE 2006. Visual Information Engineering, IET International Conference, pp. 441–446 (2006) ISSN: 0537-9989, ISBN: 978-0-86341-671-2
Zhan, B., Remagnino, P., Velastin, S.A., Monekosso, N., Xu, L.Q.: Motion estimation with edge continuity constraint for crowd scene analysis. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Nefian, A., Meenakshisundaram, G., Pascucci, V., Zara, J., Molineros, J., Theisel, H., Malzbender, T. (eds.) ISVC 2006. LNCS, vol. 4292, pp. 861–869. Springer, Heidelberg (2006)
Subramanya, S.R., Patel, H., Ersoy, I.: Performance evaluation of block-based motion estimation algorithms and distortion measures. In: ITCC 2004. Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC 2004), Washington, DC, USA, vol. 2, IEEE Computer Society, Los Alamitos (2004)
http://www.hsl.creighton.edu/hsl/Searching/Recall-Precision.html
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhan, B., Remagnino, P., Velastin, S.A., Monekosso, N., Xu, L.Q. (2007). A Quantitative Comparison of Two New Motion Estimation Algorithms. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_42
Download citation
DOI: https://doi.org/10.1007/978-3-540-76858-6_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
eBook Packages: Computer ScienceComputer Science (R0)