Abstract
The analysis of human motion is an important task in various surveillance applications. Getting 3D information through a calibrated system might enhance the benefits of such analysis. This paper presents a novel technique to automatically recover both intrinsic and extrinsic parameters for each surveillance camera within a camera network by only using a walking human. The same feature points of a pedestrian are taken to calculate each camera’s intrinsic parameters and to determine the relative orientations of multiple cameras within a network as well as the absolute positions within a common coordinate system. Experimental results, showing the accuracy and the practicability, are presented at the end of the paper.
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
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2003)
Lv, F., Zhao, T., Nevatia, R.: Camera Calibration from Video of a Walking Human. IEEE Trans. on PAMI 28, 1513–1518 (2006)
Kurillo, G., Li, Z., Bajcsy, R.: Framework for hierarchical calibration of multi-camera systems for teleimmersion. In: Proc. of the IMMERSCON 2009, pp. 1–6 (2009)
Beardsley, P., Murray, D.: Camera calibration using vanishing points. In: Proc. of the BMVC, Leeds, UK, pp. 417–425 (1992)
Cipolla, R., Drummond, T., Robertson, D.P.: Camera Calibration from Vanishing Points in Image of Architectural Scenes. In: Proc. of the BMVC, Nottingham, UK, vol. 2, pp. 382–391 (1999)
Junejo, I.: Using Pedestrians Walking on Uneven Terrains for Camera Calibration. In: MVA (2009)
Kusakunniran, W., Li, H., Zhang, J.: A Direct Method to Self-Calibrate a Surveillance Camera by Observing a Walking Pedestrian. In: Proc. of DICTA, Melbourne, pp. 250–255 (2009)
Chen, T., Del Bimbo, A., Pernici, F., Serra, G.: Accurate self-calibration of two cameras by observations of a moving person on a ground plane. In: Proc. of the AVSS, London, UK, pp. 129–134. IEEE Computer Society, Los Alamitos (2007)
Press, W., Flannery, B., Teukolsky, S., Vetterling, W.: Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, Cambridge (1992)
Rother, C., Kolmogorov, V., Blake, A.: ”grabcut”: interactive foreground extraction using iterated graph cuts. ACM Transactions on Graphics 23, 309–314 (2004)
Lourakis, M.I.: levmar: Levenberg-marquardt nonlinear least squares algorithms in C/C++ (2004), http://www.ics.forth.gr/~lourakis/levmar/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hödlmoser, M., Kampel, M. (2010). Multiple Camera Self-calibration and 3D Reconstruction Using Pedestrians. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17274-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-17274-8_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17273-1
Online ISBN: 978-3-642-17274-8
eBook Packages: Computer ScienceComputer Science (R0)