TY  - JOUR
AU  - Lopez-Quintero, Manuel I.
AU  - Marin-Jimenez, Manuel J.
AU  - Munoz-Salinas, Rafael
AU  - Medina-Carnicer, Rafael
PY  - 2017
DO  - 10.1049/iet-cvi.2016.0249
SN  - 1751-9632
UR  - http://hdl.handle.net/10668/18921
T2  - Iet computer vision
AB  - This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very well in controlled indoor...
LA  - en
PB  - Wiley
KW  - Stereo image processing
KW  - Pose estimation
KW  - Video signal processing
KW  - Image sensors
KW  - Image sequences
KW  - Stereo videos
KW  - Mixing body-parts model
KW  - 2D articulated human pose estimation
KW  - Microsoft Kinect
KW  - Controlled indoor environments
KW  - Localise upper-body keypoints
KW  - Temporal sequences
KW  - Stereo image pairs
KW  - Body poses
KW  - Stereo consistency
KW  - Temporal consistency
KW  - Stereo human pose estimation dataset
KW  - INRIA 3DMovie
KW  - Monocular sequences
KW  - Stereo sequences
KW  - Humans
KW  - Shoulder
KW  - Wrist
KW  - Exercise
KW  - Algorithms
KW  - Imaging, Three-Dimensional
TI  - Mixing body-parts model for 2D human pose estimation in stereo videos
TY  - research article
VL  - 11
ER  -