Stereo Pictorial Structure for 2D Articulated Human Pose Estimation
Autor
López-Quintero, Manuel I.
Marín-Jiménez, M.J.
Muñoz-Salinas, Rafael
Madrid-Cuevas, F.J.
Medina-Carnicer, R.
Fecha
2015Materia
Stereo pictorial structure2D human pose
SHPED
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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-ofthe-
art monocular models thanks to the appropriate use of
the stereo information