A Group Contextual Model for Activity Recognition in Crowded Scenes

Khai N. Tran, Xu Yan, Ioannis A. Kakadiaris, Shishir K. Shah

2015

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 5-12. DOI: 10.5220/0005258600050012

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005258600050012},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - A Group Contextual Model for Activity Recognition in Crowded Scenes
SN - 978-989-758-090-1
AU - Tran K.
AU - Yan X.
AU - Kakadiaris I.
AU - Shah S.
PY - 2015
SP - 5
EP - 12
DO - 10.5220/0005258600050012