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Authors: Khai N. Tran ; Xu Yan ; Ioannis A. Kakadiaris and Shishir K. Shah

Affiliation: University of Houston, United States

Keyword(s): Group Context Activity, Activity Recognition, Social Interaction.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: This paper presents an efficient framework for activity recognition based on analyzing group context in crowded scenes. We use graph based clustering algorithm to discover interacting groups using top-down mechanism. Using discovered interacting groups, we propose a new group context activity descriptor capturing not only the focal person’s activity but also behaviors of its neighbors. For a high-level of understanding of human activities, we propose a random field model to encode activity relationships between people in the scene. We evaluate our approach on two public benchmark datasets. The results of both the steps show that our method achieves recognition rates comparable to state-of-the-art methods for activity recognition in crowded scenes.

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Paper citation in several formats:
Tran, K.; Yan, X.; Kakadiaris, I. and Shah, S. (2015). A Group Contextual Model for Activity Recognition in Crowded Scenes. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 5-12. DOI: 10.5220/0005258600050012

@conference{visapp15,
author={Khai N. Tran. and Xu Yan. and Ioannis A. Kakadiaris. and Shishir K. Shah.},
title={A Group Contextual Model for Activity Recognition in Crowded Scenes},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005258600050012},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - A Group Contextual Model for Activity Recognition in Crowded Scenes
SN - 978-989-758-090-1
IS - 2184-4321
AU - Tran, K.
AU - Yan, X.
AU - Kakadiaris, I.
AU - Shah, S.
PY - 2015
SP - 5
EP - 12
DO - 10.5220/0005258600050012
PB - SciTePress