Abstract
Accurate markerless motion capture systems rely on images that allow segmentation of the person in the foreground. While the accuracy of such approaches is comparable to marker based systems, the segmentation step makes strong restrictions to the capture environment, e.g. homogenous clothing or background, constant lighting etc. In our approach a template model is fitted to images by an Analysis-by-Synthesis method, which doesn’t need explicit segmentation or homogenous clothing and gives reliable results even with non-static cluttered background.
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References
Araujo, H., Carceroni, R., Brown, C.: A Fully Projective Formulation to Improve the Accuracy of Lowe’s Pose Estimation Algorithm. Comp. Vis. and Image Understanding 70(2) (1998)
Bray, M., Koller-Meier, E., Mueller, P., Van Gool, L., Schraudolph, N.N.: 3D Hand Tracking by Rapid Stochastic Gradient Descent Using a Skinning Model. In: CVMP. IEEE, Los Alamitos (2004)
Bregler, C., Malik, J.: Tracking people with twists and exponential maps. In: Proceeding IEEE CVPR, pp. 8–15 (1998)
Chong, E.K.P., Zak, S.H.: An Introduction to Optimization, 2nd edn., ch. 9. Wiley, Chichester (2001)
Mündermann, L., et al.: Validation of a markerless motion capture system for the calculation of lower extremity kinematics. In: Proc. American Society of Biomechanics, Cleveland, USA (2005)
Evers-Senne, J.-F., Frahm, J.-M., Grest, D., Köser, K., Streckel, B., Woetzel, J., Woelk, J.-F.: Basic Image AlgorithmS (BIAS) open-source-library, C++ (2005), http://www.mip.informatik.uni-kiel.de/Software/software.html
Grest, D., Herzog, D., Koch, R.: Human Model Fitting from Monocular Posture Images. In: Proc. of VMV (November 2005)
Grest, D., Woetzel, J., Koch, R.: Nonlinear Body Pose Estimation from Depth Images. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) DAGM 2005. LNCS, vol. 3663, pp. 285–292. Springer, Heidelberg (2005)
Kakadiaris, I., Metaxas, D.: Model-Based Estimation of 3D Human Motion. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) 22(12) (2000)
Murray, R.M., Li, Z., Sastry, S.S.: A Mathematical Introduction to Robotic Manipulation. CRC Press, Boca Raton (1994)
Niskanen, M., Boyer, E., Horaud, R.: Articulated motion capture from 3-D points and normals. In: CVMP, London (2005)
Plänkers, R., Fua, P.: Model-Based Silhouette Extraction for Accurate People Tracking. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 325–339. Springer, Heidelberg (2002)
Rosenhahn, B., Kersting, U.G., Smith, A.W., Gurney, J.K., Brox, T., Klette, R.: A System for Marker-Less Human Motion Estimation. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) DAGM 2005. LNCS, vol. 3663, pp. 230–237. Springer, Heidelberg (2005)
Tomasi, C., Kanade, T.: Detection and tracking of point features. Technical report, Carnegie Mellon University, Pittsburg, PA (1991)
Wettegren, B., Christensen, L.B., Rosenhahn, B., Granert, O., Krüger, N.: Image uncertainty and pose estimation in 3d euclidian space. In: Proceedings DSAGM, pp. 76–84 (2005)
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Grest, D., Herzog, D., Koch, R. (2006). Monocular Body Pose Estimation by Color Histograms and Point Tracking. In: Franke, K., Müller, KR., Nickolay, B., Schäfer, R. (eds) Pattern Recognition. DAGM 2006. Lecture Notes in Computer Science, vol 4174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861898_58
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DOI: https://doi.org/10.1007/11861898_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44412-1
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