1087115
doi
10.5281/zenodo.1087115
oai:zenodo.org:1087115
user-eu
Daras, Petros
Centre for Research and Technology Hellas
Global Flow and Temporal-shape Descriptors for Human Action Recognition from 3D Reconstruction Data
Papadopoulos, Georgios Th.
Centre for Research and Technology Hellas
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Action recognition
3D reconstruction
3D flow
3D shape
<p>In this paper, global-level view-invariant descriptors for human action recognition using 3D reconstruction data are proposed. 3D reconstruction techniques are employed for addressing two of the most challenging issues related to human action recognition in the general case, namely view-variance and the presence of (self-) occlusions. Initially, a set of calibrated Kinect sensors are employed for producing a 3D reconstruction of the performing subjects. Subsequently, a 3D flow field is estimated for every captured frame. For performing action recognition, a novel global 3D flow descriptor is introduced, which achieves to efficiently encode the global motion characteristics in a compact way, while also incorporating spatial distribution related information. Additionally, a new global temporal-shape descriptor that extends the notion of 3D shape descriptions for action recognition, by including temporal information, is also proposed. The latter descriptor efficiently addresses the inherent problems of temporal alignment and compact representation, while also being robust in the presence of noise. Experimental results using public datasets demonstrate the efficiency of the proposed approach.</p>
Zenodo
2017-07-15
info:eu-repo/semantics/conferencePaper
1087114
user-eu
Camera-ready
award_title=Detecting and ANalysing TErrorist-related online contents and financing activities; award_number=700367; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/700367; funder_id=00k4n6c32; funder_name=European Commission;
1579542361.125472
1093926
md5:d276f6e3b8dbbc96c2449fed850dfd99
https://zenodo.org/records/1087115/files/mldm-camera-ready.pdf
public
10.5281/zenodo.1087114
isVersionOf
doi