FORTH Occluded Articulated Human Body Dataset
This site aims to make publicly available the dataset that was collected, annotated and used for the quantitative evaluation of our methodology for articulated human body pose extraction and tracking under occlusions.
CitationIf you make use of the provided data, please cite the following article:
M. Sigalas, M. Pateraki, and P. Trahanias, “Full-body pose tracking - the Top View Reprojection approach”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. PP, no. 99, 2015. [doi] [bib]
ContributionsMain contributors of this project are:
who are with the Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece.
AcknowledgmentsThis work has been partially supported by the EU Information Society Technologies research project James (FP7-045388).