Predicting Group Convergence in Egocentric Videos

Jyoti Nigam, Renu Rameshan

Abstract

In this work, our aim is to find the group dynamics in social gathering videos that are captured from the first-person perspective. The complexity of the task is high as only one sensor (wearable camera) is present to sense all the N agents. An additional complexity arises as the first-person who is part of the group is not visible in the video. In particular, we are interested in identifying the group (with certain number of agents) convergence. We generate a dataset named EgoConvergingGroup to evaluate our proposed method. The proposed method predicts the group convergence in 90 to 250 number of frames, which is much ahead of the actual convergence.

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Paper Citation


in Harvard Style

Nigam J. and Rameshan R. (2019). Predicting Group Convergence in Egocentric Videos.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 773-777. DOI: 10.5220/0007556207730777


in Bibtex Style

@conference{icpram19,
author={Jyoti Nigam and Renu Rameshan},
title={Predicting Group Convergence in Egocentric Videos},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={773-777},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007556207730777},
isbn={978-989-758-351-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Predicting Group Convergence in Egocentric Videos
SN - 978-989-758-351-3
AU - Nigam J.
AU - Rameshan R.
PY - 2019
SP - 773
EP - 777
DO - 10.5220/0007556207730777