Social Cues in Group Formation and Local Interactions for Collective Activity Analysis

Khai N. Tran, Apurva Bedagkar-Gala, Ioannis A. Kakadiaris, Shishir K. Shah

2013

Abstract

This paper presents a novel and efficient framework for group activity analysis. People in a scene can be intuitively represented by an undirected graph where vertices are people and the edges between two people are weighted by how much they are interacting. Social signaling cues are used to describe the degree of interaction between people. We propose a graph-based clustering algorithm to discover interacting groups in crowded scenes. The grouping of people in the scene serves to isolate the groups engaged in the dominant activity, effectively eliminating dataset contamination. Using discovered interacting groups, we create a descriptor capturing the motion and interaction of people within it. A bag-of-words approach is used to represent group activity and a SVM classifier is used for activity recognition. The proposed framework is evaluated in its ability to discover interacting groups and perform group activity recognition using two public datasets. The results of both the steps show that our method outperforms state-of-the-art methods for group discovery and achieves recognition rates comparable to state-of-the-art methods for group activity recognition.

Paper Citation

in Harvard Style

N. Tran K., Bedagkar-Gala A., A. Kakadiaris I. and K. Shah S. (2013). Social Cues in Group Formation and Local Interactions for Collective Activity Analysis . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 539-548. DOI: 10.5220/0004256505390548

in Bibtex Style

@conference{visapp13,
author={Khai N. Tran and Apurva Bedagkar-Gala and Ioannis A. Kakadiaris and Shishir K. Shah},
title={Social Cues in Group Formation and Local Interactions for Collective Activity Analysis},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={539-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004256505390548},
isbn={978-989-8565-47-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Social Cues in Group Formation and Local Interactions for Collective Activity Analysis
SN - 978-989-8565-47-1
AU - N. Tran K.
AU - Bedagkar-Gala A.
AU - A. Kakadiaris I.
AU - K. Shah S.
PY - 2013
SP - 539
EP - 548
DO - 10.5220/0004256505390548