Action Recognition Online with Hierarchical Self-Organizing Maps

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

We present a hierarchical self-organizing map based system for online recognition of human actions. We have made a first evaluation of our system by training it on two different sets of recorded human actions, one set containing manner actions and one set containing result actions, and then tested it by letting a human performer carry out the actions online in real time in front of the system’s 3D-camera. The system successfully recognized more than 94% of the manner actions and most of the result actions carried out by the human performer.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Robotteknik och automation
  • Mänsklig interaktion med IKT
  • Filosofi
Originalspråkengelska
Titel på värdpublikation12th International Conference on Signal Image Technology & Internet-Based Systems
Undertitel på gästpublikationSITIS 2016. Proceedings.
UtgivningsortLos Alamitos, California
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor538-544
Antal sidor7
ISBN (elektroniskt)978-1-5090-5698-9
StatusPublished - 2016
PublikationskategoriForskning
Peer review utfördJa
Evenemang2016 12th International Conference on Signal-Image Technology & Internet-Based Systems - Naples, Italien
Varaktighet: 2016 nov 282016 dec 1
http://www.sitis-conf.org/

Konferens

Konferens2016 12th International Conference on Signal-Image Technology & Internet-Based Systems
LandItalien
OrtNaples
Period2016/11/282016/12/01
Internetadress

Relaterad forskningsoutput

Gharaee, Z., 2018 mar 15, Lund: Lund University Cognitive Science. 166 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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