Skip to Main content Skip to Navigation
Conference papers

Articulated-Body Tracking Through Anisotropic Edge Detection

David Knossow 1 Joost van de Weijer 2 Radu Horaud 1 Rémi Ronfard 2
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
2 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
Abstract : This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on both an explicit parameterization of the extremal contours and on the prediction of the human boundary edges in the image. We combine extremal contour prediction and edge detection in a non linear minimization process. The error function that measures the discrepancy between observed image edges and predicted model contours is minimized using an analytical expression of the Jacobian that maps joint velocities onto extremal contour velocities. In practice, we model people both by their geometry (truncated elliptic cones) and their articulated structure - a kinematic model with 40 rotational degrees of freedom. To overcome the flaws of standard edge detection, we introduce a model-based anisotropic Gaussian filter. The parameters of the anisotropic Gaussian are automatically derived from the kinematic model through the prediction of the extremal contours. The theory is validated by performing full body motion capture from six synchronized video sequences at 30 fps without markers.
Document type :
Conference papers
Complete list of metadatas

Cited literature [22 references]  Display  Hide  Download


https://hal.inria.fr/inria-00544742
Contributor : Rémi Ronfard <>
Submitted on : Saturday, December 11, 2010 - 8:24:04 AM
Last modification on : Thursday, July 9, 2020 - 9:44:35 AM
Document(s) archivé(s) le : Saturday, March 12, 2011 - 2:23:12 AM

Files

Identifiers

Citation

David Knossow, Joost van de Weijer, Radu Horaud, Rémi Ronfard. Articulated-Body Tracking Through Anisotropic Edge Detection. Workshop on Dynamical Vision, May 2006, Graz, Austria. pp.86-99, ⟨10.1007/978-3-540-70932-9_7⟩. ⟨inria-00544742⟩

Share

Metrics

Record views

1035

Files downloads

1685