Topolet: From Atomic Hand Posture Structures to a Comprehensive Gesture Set
Amin Dadgar, Guido Brunnett
2019
Abstract
We propose a type of time-series model for hierarchical hand posture database which can be viewed as a Markovian temporal structure. The model employs the topology of the points’ cloud, existing in each layer of the database, and exploits a novel type of atomic structure, we refer to as Topolet. Moreover, our temporal structure utilizes a modified version of another atomic gesture structure, known as Poselet. That modification considers Poselets from the vector-based generative perspective (instead of the pixel-based discriminative one). The results suggest a considerable improvement in the accuracy and time-complexity. Furthermore, in contrast to other approaches, our Topolet is capable of considering random gestures, thus introduces a comprehensive set of gestures (suitable for context-free application domain) within the shape-based approach. We prove that the Topolet could be enhanced to different resolutions of gestures’ set which provide the system with the potential to be adapted to different application requirements.
DownloadPaper Citation
in Harvard Style
Dadgar A. and Brunnett G. (2019). Topolet: From Atomic Hand Posture Structures to a Comprehensive Gesture Set. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 157-164. DOI: 10.5220/0007244701570164
in Bibtex Style
@conference{visapp19,
author={Amin Dadgar and Guido Brunnett},
title={Topolet: From Atomic Hand Posture Structures to a Comprehensive Gesture Set},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007244701570164},
isbn={978-989-758-354-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - Topolet: From Atomic Hand Posture Structures to a Comprehensive Gesture Set
SN - 978-989-758-354-4
AU - Dadgar A.
AU - Brunnett G.
PY - 2019
SP - 157
EP - 164
DO - 10.5220/0007244701570164
PB - SciTePress