Abstract
This paper deals with human body pose recovery through a multicamera system, which is a key task in monitoring of human activity. The proposed algorithm reconstructs the 3D visual hull of the observed body and characterizes its shape with a new 3D shape descriptor. The body pose is then infered through an original two-stage regression process. As the learning step is independant of the camera configuration, the resulting system is easy to set up. This solution is evaluated on synthetic scenes and promising results on real images are also presented.
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
Cham, T.J., Rehg, J.M.: A multiple hypothesis approach to figure tracking. In: CVPR (1999)
Sminchisescu, C., Triggs, B.: Estimating articulated human motion with covariance scaled sampling. I. J. Robotic Res (2003)
Shakhnarovich, G., Viola, P., Darrell, T.: Fast pose estimation with parameter-sensitive hashing. In: ICCV (2003)
Rosales, R., Sclaroff, S.: Specialized mappings and the estimation of human body pose from a single image. In: HUMO 2000 (2000)
Agarwal, A., Triggs, B.: Recovering 3d human pose from monocular images. PAMI (2006)
Grauman, K., Shakhnarovich, G., Darrell, T.: Inferring 3d structure with a statistical image-based shape model. In: ICCV (2003)
Sun, Y., Bray, M., Thayananthan, A., Yuan, B., Torr, P.: Regression-based human motion capture from voxel data. In: BMVC (2006)
Tuzel, O., Porikli, F., Meer, P.: A bayesian approach to background modeling. In: CVPR (2005)
Cheung, G.K.M., Kanade, T., Bouguet, J.Y., Holler, M.: A real time system for robust 3d voxel reconstruction of human motions. In: ICCV (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gond, L., Sayd, P., Chateau, T., Dhome, M. (2008). A 3D Shape Descriptor for Human Pose Recovery. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2008. Lecture Notes in Computer Science, vol 5098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70517-8_36
Download citation
DOI: https://doi.org/10.1007/978-3-540-70517-8_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70516-1
Online ISBN: 978-3-540-70517-8
eBook Packages: Computer ScienceComputer Science (R0)