Abstract
In this paper we describe a new method for detection and initial pose estimation of a person in a human computer interaction in an uncontrolled indoor environment. We used the Koepfler-Morel-Solimini mathematical formulation of Mumford-Shah segmentation functional adapted to color images. The idea is to obtain a system to detect the hands and face in a sequence of monocular or binocular images. The skin color is predefined and a procedure is parameterized to segment and recognize the homogeneous regions. Besides, we fit our results to a restriction that the two hands and face must be detected at the same time. We also use a biomechanical restriction to reach this initial estimation. So, the centroid of the blob is computed for every region. We explain the mathematical background segmentation, and region classification (hands, face, head and upper-torso). Finally, we present some interesting results and we implement the algorithm efficiently in order to obtain real time results processing standard video format.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cheng, H.D., Jiang, X.H., Sun, Y., Wang, J.: Color Image Segmentation: Advances and Prospects. Journal of Pattern Recognition 34, 2259–2281 (2001)
Koepler, G., Morel, J.M., Solimini, S.: Segmentation by minimizing a functional and the merging methods. SIAM J. on Numerical Analysis 31(1) (February 1994)
Mumford, D., Shah, J.: Optimal approximations by piecewise smooth functions and variational problems. Communications on Pure and Applied Mathematics XLII(4) (1989)
Morel, J.M., Solimini, S.: Variational Methods for Image Segmentation. Birkhauser Verlag, Basel (1995)
Gonzalez, M.: Segmentación de imágenes en Color por método variacional. In: Proc. Del XIV C.E.D.Y.A. y IV C.M.A., pp. 287–288 (1995)
Ballester, C., Caselles, V., Gonzalez, M.: Affine invariant segmentation by variational methods. SIAM J. Appl. Math. 56(1), 294–325 (1996)
Wyszecki, G., Stiles, W.S.: Color Science: Concepts and Methods. Quantitative data and Formulae, 2nd edn. Wiley, Chichester (1982)
Haritaoglu, I.: W4: Real-Time Surveillance of People and Their Activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 809–830 (2000)
Sidenbladh, H., Black, M.J., Fleet, D.J.: Stochastic Tracking of 3D Human Figures Using 2D Image Motion. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 702–718. Springer, Heidelberg (2000)
Buades, J.M., Mas, R., Perales, F.J.: Matching a Human Walking Sequence with a VRML Syntehtic Model. In: Nagel, H.-H., Perales Lopez, F.J. (eds.) AMDO 2000. LNCS, vol. 1899, pp. 145–158. Springer, Heidelberg (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rubio, J.M.B., Hidalgo, M.G., López, F.J.P. (2003). A New Method for Detection and Initial Pose Estimation Based on Mumford-Shah Segmentation Functional. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-44871-6_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40217-6
Online ISBN: 978-3-540-44871-6
eBook Packages: Springer Book Archive