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Action Recognition Online with Hierarchical Self-Organizing Maps

Gharaee, Zahra LU ; Gärdenfors, Peter LU and Johnsson, Magnus LU (2016) 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems In 12th International Conference on Signal Image Technology & Internet-Based Systems p.538-544
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
12th International Conference on Signal Image Technology & Internet-Based Systems
pages
7 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
2016 12th International Conference on Signal-Image Technology & Internet-Based Systems
external identifiers
  • scopus:85019192205
DOI
10.1109/SITIS.2016.91
language
English
LU publication?
yes
id
d77dcd94-e940-4ff0-8488-d5f03e5ba049
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907518
date added to LUP
2016-12-04 17:12:46
date last changed
2017-06-11 05:16:18
@inproceedings{d77dcd94-e940-4ff0-8488-d5f03e5ba049,
  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.},
  author       = {Gharaee, Zahra and Gärdenfors, Peter and Johnsson, Magnus},
  booktitle    = {12th International Conference on Signal Image Technology & Internet-Based Systems },
  language     = {eng},
  pages        = {538--544},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Action Recognition Online with Hierarchical Self-Organizing Maps},
  url          = {http://dx.doi.org/10.1109/SITIS.2016.91},
  year         = {2016},
}