Action Recognition Online with Hierarchical Self-Organizing Maps

Zahra Gharaee, Peter Gardenfors, Magnus Johnsson

Forskningsoutput: KonferensbidragArbetsdokument (paper)Peer review

10 Citeringar (Scopus)

Sammanfattning

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.

OriginalspråkEngelska
Sidor538-544
Antal sidor7
DOI
StatusPublicerad - 2017-apr.-21
Externt publiceradJa
Evenemang12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 - Naples, Italien
Varaktighet: 2016-nov.-282016-dec.-01

Konferens

Konferens12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016
Land/TerritoriumItalien
OrtNaples
Period16-11-2816-12-01

Nationell ämneskategori

  • Elektroteknik och elektronik (202)

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