Abstract
In this paper we present a novel approach to markerless human motion capture that robustly integrates body part detections in multiple views. The proposed method fuses cues from multiple views to enhance the propagation and observation model of particle filtering methods aiming at human motion capture. We particularize our method to improve arm tracking in the publicly available IXMAS dataset. Our experiments show that the proposed method outperforms other state-of-the-art approaches.
This work has been partially supported by the Spanish Ministerio de Ciencia e Innovación, under project TEC2010-18094.
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
Holte, M.B., Tran, C., Trivedi, M.M., Moeslund, T.B.: Human action recognition using multiple views: a comparative perspective on recent developments. In: ACM Workshop on HGBU. J-HGBU 2011, pp. 47–52. ACM, New York (2011)
Gall, J., Rosenhahn, B., Brox, T., Seidel, H.-P.: Optimization and filtering for human motion capture. IJCV 87, 75–92 (2010), doi:10.1007/s11263-008-0173-1
Bandouch, J., Beetz, M.: Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models. In: IEEE Int. Workshop on Human-Computer Interaction (HCI) and ICCV 2009 (2009)
Wang, J.M., Fleet, D.J., Hertzmann, A.: Gaussian process dynamical models for human motion. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(2), 283–298 (2008)
Gall, J., Yao, A., Van Gool, L.: 2D Action Recognition Serves 3D Human Pose Estimation. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 425–438. Springer, Heidelberg (2010)
Singh, V.K., Nevatia, R., Huang, C.: Efficient inference with multiple heterogeneous part detectors for human pose estimation. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 314–327. Springer, Heidelberg (2010)
López-Méndez, A., Alcoverro, M., Pardàs, M., Casas, J.: Real-time upper body tracking with online initialization using a range sensor. In: HCI-ICCV (2011)
Inria: The IXMAS Dataset (2006), http://4drepository.inrialpes.fr/public/viewgroup/6
Deutscher, J., Blake, A., Reid, I.: Articulated body motion capture by annealed particle filtering. In: CVPR, vol. 2, pp. 126–133 (2000)
MacCormick, J., Isard, M.: Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking. In: Vernon, D. (ed.) ECCV 2000, Part II. LNCS, vol. 1843, pp. 3–19. Springer, Heidelberg (2000)
Bălan, A.O., Sigal, L., Black, M.J.: A quantitative evaluation of video-based 3d person tracking. In: IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS, pp. 349–356 (2005)
Jones, M.J., Rehg, J.M.: Statistical Color Models with Application to Skin Detection. In: CVPR, vol. 1, pp. 274–280 (1999)
Salvador, J., Suau, X., Casas, J.R.: From silhouettes to 3d points to mesh: towards free viewpoint video. In: Proceedings of the 1st International Workshop on 3D Video Processing, 3DVP 2010, pp. 19–24 (2010)
Rusu, R.B.: Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments. PhD thesis, Computer Science department, Technische Universitaet Muenchen, Germany (October 2009)
Friedman, J.H., Bentley, J.L., Finkel, R.A.: An algorithm for finding best matches in logarithmic expected time. ACM Trans. Math. Softw. 3, 209–226 (1977)
Hauberg, S., Pedersen, K.S.: Predicting articulated human motion from spatial processes. IJCV 94(3), 317–334 (2011)
Kallmann, M.: Analytical inverse kinematics with body posture control. Comput. Animat. Virtual Worlds 19(2), 79–91 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Navarro, S., López-Méndez, A., Alcoverro, M., Casas, J.R. (2012). Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In: Perales, F.J., Fisher, R.B., Moeslund, T.B. (eds) Articulated Motion and Deformable Objects. AMDO 2012. Lecture Notes in Computer Science, vol 7378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31567-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-31567-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31566-4
Online ISBN: 978-3-642-31567-1
eBook Packages: Computer ScienceComputer Science (R0)