Action Recognition Online with Hierarchical Self-Organizing Maps

Zahra Gharaee; Peter Gärdenfors; Magnus Johnsson

doi:10.1109/SITIS.2016.91

Action Recognition Online with Hierarchical Self-Organizing Maps

Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	12th International Conference on Signal Image Technology & Internet-Based Systems
Subtitle of host publication	SITIS 2016. Proceedings.
Place of Publication	Los Alamitos, California
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	538-544
Number of pages	7
ISBN (Electronic)	978-1-5090-5698-9
DOIs	https://doi.org/10.1109/SITIS.2016.91
Publication status	Published - 2016
Event	2016 12th International Conference on Signal-Image Technology & Internet-Based Systems - Naples, Italy Duration: 2016 Nov 28 → 2016 Dec 1 http://www.sitis-conf.org/

Conference

Conference	2016 12th International Conference on Signal-Image Technology & Internet-Based Systems
Country/Territory	Italy
City	Naples
Period	2016/11/28 → 2016/12/01
Internet address	http://www.sitis-conf.org/

Subject classification (UKÄ)

Robotics and automation
Information Systems, Social aspects (including Human Aspects of ICT)
Philosophy

Access to Document

10.1109/SITIS.2016.91Licence: Other

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907518

1 Doctoral Thesis (compilation)

Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
Gharaee, Z., 2018 Mar 15, Lund: Lund University Cognitive Science. 166 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File

2 Finished

CCL: Thinking in Time: Cognition, Communication and Learning
Sahlén, B. (PI), Gärdenfors, P. (PI), Hesslow, G. (Researcher), Lindgren, M. (PI), Strömqvist, S. (PI), Byström, I. (Administrator), Sjöstrand, E. (Administrator), Mårtensson, J. (Researcher), Andersson, A. (Researcher), Hansson, K. (Researcher), Gullberg, M. (Researcher), Johansson, R. (Researcher), Johansson, M. (Researcher), Falck, A. (Researcher), Roll, M. (Researcher), Ståhlberg, F. (Researcher), Horne, M. (Researcher), Blomberg, F. (Researcher), Johansson, V. (Researcher), Nirme, J. (Research student), Gulz, A. (Researcher), van de Weijer, J. (Researcher), Paradis, C. (Researcher), Tärning, B. (Research student), Bramao, I. (Researcher), Sayehli, S. (Researcher), Löhndorf, S. (Research student), Willners, C. (Researcher), Blomberg, J. (Research assistant), Schötz, S. (Researcher), Haake, M. (Researcher), Brännström, J. (Researcher), Grenner, E. (Research student), Holsanova, J. (Researcher), Wengelin, Å. (Researcher), Johnsson, M. (Researcher), Winberg, S. (Researcher), Balkenius, C. (Researcher), Gharaee, Z. (Researcher) & Bååth, R. (Research student)
Swedish Research Council
2008/01/01 → 2018/12/31
Project: Research
Ikaros: An infrastructure for system level modelling of the brain
Johansson, B. (Researcher), Balkenius, C. (PI), Johnsson, M. (Researcher), Bååth, R. (Researcher), Winberg, S. (Researcher), Gharaee, Z. (Researcher), Tjøstheim, T. A. (Research student) & Krantz, A. (Researcher)
2001/01/01 → 2023/12/31
Project: Research

Cite this

@inproceedings{d77dcd94e9404ff08488d5f03e5ba049,

title = "Action Recognition Online with Hierarchical Self-Organizing Maps",

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{\textquoteright}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 = "Zahra Gharaee and Peter G{\"a}rdenfors and Magnus Johnsson",

year = "2016",

doi = "10.1109/SITIS.2016.91",

language = "English",

pages = "538--544",

booktitle = "12th International Conference on Signal Image Technology & Internet-Based Systems",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2016 12th International Conference on Signal-Image Technology & Internet-Based Systems ; Conference date: 28-11-2016 Through 01-12-2016",

url = "http://www.sitis-conf.org/",

}

Gharaee, Z, Gärdenfors, P & Johnsson, M 2016, Action Recognition Online with Hierarchical Self-Organizing Maps. in 12th International Conference on Signal Image Technology & Internet-Based Systems : SITIS 2016. Proceedings.. IEEE - Institute of Electrical and Electronics Engineers Inc., Los Alamitos, California, pp. 538-544, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems, Naples, Italy, 2016/11/28. https://doi.org/10.1109/SITIS.2016.91

Action Recognition Online with Hierarchical Self-Organizing Maps. / Gharaee, Zahra; Gärdenfors, Peter; Johnsson, Magnus.
12th International Conference on Signal Image Technology & Internet-Based Systems : SITIS 2016. Proceedings.. Los Alamitos, California: IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. p. 538-544.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Action Recognition Online with Hierarchical Self-Organizing Maps

AU - Gharaee, Zahra

AU - Gärdenfors, Peter

AU - Johnsson, Magnus

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.1109/SITIS.2016.91

DO - 10.1109/SITIS.2016.91

M3 - Paper in conference proceeding

SP - 538

EP - 544

BT - 12th International Conference on Signal Image Technology & Internet-Based Systems

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Los Alamitos, California

T2 - 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems

Y2 - 28 November 2016 through 1 December 2016

ER -

Action Recognition Online with Hierarchical Self-Organizing Maps

Abstract

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

Action in Mind: A Neural Network Approach to Action Recognition and Segmentation

Projects

CCL: Thinking in Time: Cognition, Communication and Learning

Ikaros: An infrastructure for system level modelling of the brain

Cite this