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Authors: Mo'taz Al-Hami and Rolf Lakaemper

Affiliation: Temple University, United States

Keyword(s): Human-pose, 2D Human-pose Estimation, 3D Human-pose Reconstruction, Silhouette Value, Hierarchical Clustering.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Geometry and Modeling ; Image and Video Analysis ; Image-Based Modeling ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: The work presented in this paper is part of a project to enable humanoid robots to build a semantic understanding of their environment adopting unsupervised self-learning techniques. Here, we propose an approach to learn 3-dimensional human-pose conformations, i.e. structural arrangements of a (simplified) human skeleton model, given only a minimal verbal description of a human posture (e.g. "sitting", "standing", "tree pose"). The only tools given to the robot are knowledge about the skeleton model, as well as a connection to the labeled images database "google images". Hence the main contribution of this work is to filter relevant results from an images database, given a human-pose specific query words, and to transform the information in these (2D) images into a 3D pose that is the most likely to fit the human understanding of the keywords. Steps to achieve this goal integrate available 2D human-pose estimators using still images, clustering techniques to extract representative 2D human skeleton poses, and the 3D-pose from 2D-pose estimation. We evaluate the approach using different query keywords representing different postures. (More)

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Paper citation in several formats:
Al-Hami, M. and Lakaemper, R. (2015). Towards Human Pose Semantic Synthesis in 3D based on Query Keywords. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 420-427. DOI: 10.5220/0005258704200427

@conference{visapp15,
author={Mo'taz Al{-}Hami. and Rolf Lakaemper.},
title={Towards Human Pose Semantic Synthesis in 3D based on Query Keywords},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={420-427},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005258704200427},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - Towards Human Pose Semantic Synthesis in 3D based on Query Keywords
SN - 978-989-758-091-8
IS - 2184-4321
AU - Al-Hami, M.
AU - Lakaemper, R.
PY - 2015
SP - 420
EP - 427
DO - 10.5220/0005258704200427
PB - SciTePress