Multiple human pose estimation with temporally consistent 3D pictorial structures

Belagiannis V, Wang X, Schiele B, Fua P, Ilic S, Navab N (2015)

Publication Type: Conference contribution

Publication year: 2015

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 8925

Pages Range: 742-754

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Zurich, CHE

ISBN: 9783319161778

DOI: 10.1007/978-3-319-16178-5_52

Abstract

Multiple human 3D pose estimation from multiple camera views is a challenging task in unconstrained environments. Each individual has to be matched across each view and then the body pose has to be estimated. Additionally, the body pose of every individual changes in a consistent manner over time. To address these challenges, we propose a temporally consistent 3D Pictorial Structures model (3DPS) for multiple human pose estimation from multiple camera views. Our model builds on the 3D Pictorial Structures to introduce the notion of temporal consistency between the inferred body poses. We derive this property by relying on multi-view human tracking. Identifying each individual before inference significantly reduces the size of the state space and positively influences the performance as well. To evaluate our method, we use two challenging multiple human datasets in unconstrained environments. We compare our method with the state-of-the-art approaches and achieve better results.

Authors with CRIS profile

Vasileios Belagiannis

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) École Polytechnique Fédérale de Lausanne (EPFL) CH Switzerland (CH) Max Planck Institute for Informatics / Max-Planck-Institut für Informatik DE Germany (DE)

How to cite

APA:

Belagiannis, V., Wang, X., Schiele, B., Fua, P., Ilic, S., & Navab, N. (2015). Multiple human pose estimation with temporally consistent 3D pictorial structures. In Michael M. Bronstein, Carsten Rother, Lourdes Agapito (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 742-754). Zurich, CHE: Springer Verlag.

MLA:

Belagiannis, Vasileios, et al. "Multiple human pose estimation with temporally consistent 3D pictorial structures." Proceedings of the 13th European Conference on Computer Vision, ECCV 2014, Zurich, CHE Ed. Michael M. Bronstein, Carsten Rother, Lourdes Agapito, Springer Verlag, 2015. 742-754.

BibTeX: Download