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

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

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.

Originalspråk	engelska
Titel på värdpublikation	12th International Conference on Signal Image Technology & Internet-Based Systems
Undertitel på värdpublikation	SITIS 2016. Proceedings.
Utgivningsort	Los Alamitos, California
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	538-544
Antal sidor	7
ISBN (elektroniskt)	978-1-5090-5698-9
DOI	https://doi.org/10.1109/SITIS.2016.91
Status	Published - 2016
Evenemang	2016 12th International Conference on Signal-Image Technology & Internet-Based Systems - Naples, Italien Varaktighet: 2016 nov. 28 → 2016 dec. 1 http://www.sitis-conf.org/

Konferens

Konferens	2016 12th International Conference on Signal-Image Technology & Internet-Based Systems
Land/Territorium	Italien
Ort	Naples
Period	2016/11/28 → 2016/12/01
Internetadress	http://www.sitis-conf.org/

Ämnesklassifikation (UKÄ)

Robotik och automation
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Filosofi

Tillgång till dokument

10.1109/SITIS.2016.91Licens: Annan

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

1 Doktorsavhandling (sammanläggning)

Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
Gharaee, Z., 2018 mars 15, Lund: Lund University Cognitive Science. 166 s.
Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

Öppen tillgång
Fil

2 Avslutade

CCL: Thinking in Time: Cognition, Communication and Learning
Sahlén, B. (PI), Gärdenfors, P. (PI), Hesslow, G. (Forskare), Lindgren, M. (PI), Strömqvist, S. (PI), Byström, I. (Administratör), Sjöstrand, E. (Administratör), Mårtensson, J. (Forskare), Andersson, A. (Forskare), Hansson, K. (Forskare), Gullberg, M. (Forskare), Johansson, R. (Forskare), Johansson, M. (Forskare), Falck, A. (Forskare), Roll, M. (Forskare), Ståhlberg, F. (Forskare), Horne, M. (Forskare), Blomberg, F. (Forskare), Johansson, V. (Forskare), Nirme, J. (Forskarstuderande), Gulz, A. (Forskare), van de Weijer, J. (Forskare), Paradis, C. (Forskare), Tärning, B. (Forskarstuderande), Bramao, I. (Forskare), Sayehli, S. (Forskare), Löhndorf, S. (Forskarstuderande), Willners, C. (Forskare), Blomberg, J. (Forskningsassistent), Schötz, S. (Forskare), Haake, M. (Forskare), Brännström, J. (Forskare), Grenner, E. (Forskarstuderande), Holsanova, J. (Forskare), Wengelin, Å. (Forskare), Johnsson, M. (Forskare), Winberg, S. (Forskare), Balkenius, C. (Forskare), Gharaee, Z. (Forskare) & Bååth, R. (Forskarstuderande)
Swedish Research Council
2008/01/01 → 2018/12/31
Projekt: Forskning
Ikaros: En infrastruktur för systemmodellering av hjärnan
Johansson, B. (Forskare), Balkenius, C. (PI), Johnsson, M. (Forskare), Bååth, R. (Forskare), Winberg, S. (Forskare), Gharaee, Z. (Forskare), Tjøstheim, T. A. (Forskarstuderande) & Krantz, A. (Forskare)
2001/01/01 → 2023/12/31
Projekt: Forskning

Citera det här

@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. i 12th International Conference on Signal Image Technology & Internet-Based Systems : SITIS 2016. Proceedings.. IEEE - Institute of Electrical and Electronics Engineers Inc., Los Alamitos, California, s. 538-544, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems, Naples, Italien, 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. s. 538-544.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i 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

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Forskningsoutput

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

Projekt

CCL: Thinking in Time: Cognition, Communication and Learning

Ikaros: En infrastruktur för systemmodellering av hjärnan

Citera det här