Abstract
Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or reducing the ambiguities in the association task. This paper presents a flexible framework, which allows to build target specific, part-based models for arbitrary articulated objects. The rigid parts are described by hierarchical spring systems in form of attributed graph pyramids and connected via articulation points, which transfer position information between the adjacent parts.
Partially supported by the Austrian Science Fund under grants P18716-N13 and S9103-N13.
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
Fischler, M.A., Elschlager, R.A.: The representation and matching of pictorial structures. Transactions on Computers 22, 67–92 (1973)
Felzenszwalb, P.F.: Pictorial structures for object recognition. IJCV 61, 55–79 (2005)
Ramanan, D., Forsyth, D.: Finding and tracking people from the bottom up. In: CVPR, vol. 2, pp. 467–474. IEEE, Los Alamitos (2003)
Mauthner, T., Donoser, M., Bischof, H.: Robust tracking of spatial related components. In: ICPR, pp. 1–4. IEEE, Los Alamitos (2008)
Artner, N., Ion, A., Kropatsch, W.G.: Tracking objects beyond rigid motion. In: GbR. Springer, Heidelberg (2009)
Gavrila, D.M.: The visual analysis of human movement: A survey. CVIU 73(1), 82–980 (1999)
Moeslund, T.B., Hilton, A., Krger, V.: A survey of advances in vision-based human motion capture and analysis. CVIU 104(2-3), 90–126 (2006)
Aggarwal, J.K., Cai, Q.: Human motion analysis: A review. CVIU 73(3), 428–440 (1999)
Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. PAMI 24(5), 603–619 (2002)
Porikli, F., Tuzel, O., Meer, P.: Covariance tracking using model update based on lie algebra. In: CVPR, June 2006, vol. 1, pp. 728–735 (2006)
Tuzel, O., Porikli, F., Meer, P.: Region covariance: A fast descriptor for detection and classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 589–600. Springer, Heidelberg (2006)
Kropatsch, W.G., Haxhimusa, Y., Pizlo, Z., Langs, G.: Vision pyramids that do not grow too high. Pattern Recognition Letters 26(3), 319–337 (2005)
Mármol, S.B.L., Artner, N.M., Ion, A., Kropatsch, W.G., Beleznai, C.: Video object segmentation using graphs. In: Ruiz-Shulcloper, J., Kropatsch, W.G. (eds.) CIARP 2008. LNCS, vol. 5197, pp. 733–740. Springer, Heidelberg (2008)
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
Artner, N., Ion, A., Kropatsch, W. (2009). Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_123
Download citation
DOI: https://doi.org/10.1007/978-3-642-03767-2_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03766-5
Online ISBN: 978-3-642-03767-2
eBook Packages: Computer ScienceComputer Science (R0)