RT Journal Article
T1 Stereo Pictorial Structure for 2D articulated human pose estimation
A1 Lopez-Quintero, Manuel I.
A1 Marin-Jimenez, Manuel J.
A1 Munoz-Salinas, Rafael
A1 Madrid-Cuevas, Francisco J.
A1 Medina-Carnicer, Rafael
K1 3d human pose
K1 Body pose
K1 Reconstruction
AB In this paper, we consider the problem of 2D human pose estimation on stereo image pairs. In particular, we aim at estimating the location, orientation and scale of upper-body parts of people detected in stereo image pairs from realistic stereo videos that can be found in the Internet. To address this task, we propose a novel pictorial structure model to exploit the stereo information included in such stereo image pairs: the Stereo Pictorial Structure (SPS). To validate our proposed model, we contribute a new annotated dataset of stereo image pairs, the Stereo Human Pose Estimation Dataset (SHPED), obtained from YouTube stereoscopic video sequences, depicting people in challenging poses and diverse indoor and outdoor scenarios. The experimental results on SHPED indicates that SPS improves on state-of-the-art monocular models thanks to the appropriate use of the stereo information.
PB Springer
SN 0932-8092
YR 2016
FD 2016-02-01
LK http://hdl.handle.net/10668/18624
UL http://hdl.handle.net/10668/18624
LA en
NO López-Quintero MI, Marín-Jiménez MJ, Muñoz-Salinas R, Madrid-Cuevas FJ, Medina-Carnicer R. Stereo Pictorial Structure for 2D articulated human pose estimation. Machine Vision And Applications [Internet]. 21 de diciembre de 2015;27(2):157-74
DS RISalud
RD Apr 6, 2025