Modelling of interactions for the recognition of activities in groups of people

Stephens, Kyle and Bors, Adrian Gheorghe orcid.org/0000-0001-7838-0021 (2018) Modelling of interactions for the recognition of activities in groups of people. Digital Signal Processing. 34–46. ISSN 1051-2004

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: Human Interactions,Human Group Activity,Kullback–Leiblerdivergence,Kernel Density Estimatio,Gaussian Mixture Models
Dates:
  • Published (online): August 2018
  • Published: August 2018
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 27 Jun 2018 08:40
Last Modified: 24 Jun 2021 01:40
Published Version: https://doi.org/10.1016/j.dsp.2018.03.021
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.dsp.2018.03.021

Download

Filename: PeopleGroupsDSPR1Rev.pdf

Description: Modelling of Interactions for the Recognition of Activities in Groups of People

Licence: CC-BY-NC-ND 2.5

Share / Export

Statistics