Group activity recognition with group interaction zone

Young Ji Kim, Nam Gyu Cho, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

In this paper, we address the problem of recognizing group activities that include interactions between human objects based on their motion trajectory analysis. In order to resolve the complexity and ambiguity problems caused by a large number of human objects, we propose a Group Interaction Zone (GIZ) to detect meaningful groups in a scene so as to be robust against noisy information. Two novel features, Group Interaction Energy feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the effectiveness of our method with other methods on the public BEHAVE dataset.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3517-3521
Number of pages5
ISBN (Print)9781479952083
DOIs
Publication statusPublished - 2014 Jan 1
Event22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
Duration: 2014 Aug 242014 Aug 28

Other

Other22nd International Conference on Pattern Recognition, ICPR 2014
CountrySweden
CityStockholm
Period14/8/2414/8/28

Fingerprint

Trajectories

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Kim, Y. J., Cho, N. G., & Lee, S. W. (2014). Group activity recognition with group interaction zone. In Proceedings - International Conference on Pattern Recognition (pp. 3517-3521). [6977317] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2014.605

Group activity recognition with group interaction zone. / Kim, Young Ji; Cho, Nam Gyu; Lee, Seong Whan.

Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3517-3521 6977317.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, YJ, Cho, NG & Lee, SW 2014, Group activity recognition with group interaction zone. in Proceedings - International Conference on Pattern Recognition., 6977317, Institute of Electrical and Electronics Engineers Inc., pp. 3517-3521, 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 14/8/24. https://doi.org/10.1109/ICPR.2014.605
Kim YJ, Cho NG, Lee SW. Group activity recognition with group interaction zone. In Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3517-3521. 6977317 https://doi.org/10.1109/ICPR.2014.605
Kim, Young Ji ; Cho, Nam Gyu ; Lee, Seong Whan. / Group activity recognition with group interaction zone. Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3517-3521
@inproceedings{861f1847f75d4475b42d2bb7d9e2e4d4,
title = "Group activity recognition with group interaction zone",
abstract = "In this paper, we address the problem of recognizing group activities that include interactions between human objects based on their motion trajectory analysis. In order to resolve the complexity and ambiguity problems caused by a large number of human objects, we propose a Group Interaction Zone (GIZ) to detect meaningful groups in a scene so as to be robust against noisy information. Two novel features, Group Interaction Energy feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the effectiveness of our method with other methods on the public BEHAVE dataset.",
author = "Kim, {Young Ji} and Cho, {Nam Gyu} and Lee, {Seong Whan}",
year = "2014",
month = "1",
day = "1",
doi = "10.1109/ICPR.2014.605",
language = "English",
isbn = "9781479952083",
pages = "3517--3521",
booktitle = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Group activity recognition with group interaction zone

AU - Kim, Young Ji

AU - Cho, Nam Gyu

AU - Lee, Seong Whan

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this paper, we address the problem of recognizing group activities that include interactions between human objects based on their motion trajectory analysis. In order to resolve the complexity and ambiguity problems caused by a large number of human objects, we propose a Group Interaction Zone (GIZ) to detect meaningful groups in a scene so as to be robust against noisy information. Two novel features, Group Interaction Energy feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the effectiveness of our method with other methods on the public BEHAVE dataset.

AB - In this paper, we address the problem of recognizing group activities that include interactions between human objects based on their motion trajectory analysis. In order to resolve the complexity and ambiguity problems caused by a large number of human objects, we propose a Group Interaction Zone (GIZ) to detect meaningful groups in a scene so as to be robust against noisy information. Two novel features, Group Interaction Energy feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the effectiveness of our method with other methods on the public BEHAVE dataset.

UR - http://www.scopus.com/inward/record.url?scp=84919941195&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84919941195&partnerID=8YFLogxK

U2 - 10.1109/ICPR.2014.605

DO - 10.1109/ICPR.2014.605

M3 - Conference contribution

AN - SCOPUS:84919941195

SN - 9781479952083

SP - 3517

EP - 3521

BT - Proceedings - International Conference on Pattern Recognition

PB - Institute of Electrical and Electronics Engineers Inc.

ER -