Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Adel Saleh 1 ; Miguel Angel Garcia 2 ; Farhan Akram 1 ; Mohamed Abdel-Nasser 1 and Domenec Puig 1

Affiliations: 1 Rovira i Virgili University, Spain ; 2 Autonomous University of Madrid, Spain

Keyword(s): Activity Recognition, Kinematic Features, Classification.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: This paper presents a video representation that exploits the properties of the trajectories of local descriptors in human action videos. We use spatial-temporal information, which is led by trajectories to extract kinematic properties: tangent vector, normal vector, bi-normal vector and curvature. The results show that the proposed method provides comparable results compared to the state-of-the-art methods. In turn, it outperforms compared methods in terms of time complexity.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Saleh, A.; Garcia, M.; Akram, F.; Abdel-Nasser, M. and Puig, D. (2016). Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 180-185. DOI: 10.5220/0005781001800185

@conference{visapp16,
author={Adel Saleh. and Miguel Angel Garcia. and Farhan Akram. and Mohamed Abdel{-}Nasser. and Domenec Puig.},
title={Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={180-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005781001800185},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition
SN - 978-989-758-175-5
IS - 2184-4321
AU - Saleh, A.
AU - Garcia, M.
AU - Akram, F.
AU - Abdel-Nasser, M.
AU - Puig, D.
PY - 2016
SP - 180
EP - 185
DO - 10.5220/0005781001800185
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic