Predicting Group Convergence in Egocentric Videos

Jyoti Nigam; Renu M. Rameshan

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Paper

Predicting Group Convergence in Egocentric Videos

Topics: Image and Video Analysis and Understanding; Model Representation and Selection; Motion Tracking and Action Recognition

In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 773-777, 2019 , Prague, Czech Republic

Authors: Jyoti Nigam and Renu M. Rameshan

Affiliation: Indian Institute of Technology, Mandi, Himachal Pradesh and India

Keyword(s): Ego-vision, Group Convergence, Gaze Mask, Strongly Connected Graph.

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 several formats:

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 - ICPRAM; ISBN 978-989-758-351-3; ISSN 2184-4313, SciTePress, pages 773-777. DOI: 10.5220/0007556207730777

@conference{icpram19,
author={Jyoti Nigam. and Renu M. Rameshan.},
title={Predicting Group Convergence in Egocentric Videos},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2019},
pages={773-777},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007556207730777},
isbn={978-989-758-351-3},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Predicting Group Convergence in Egocentric Videos
SN - 978-989-758-351-3
IS - 2184-4313
AU - Nigam, J.
AU - Rameshan, R.
PY - 2019
SP - 773
EP - 777
DO - 10.5220/0007556207730777
PB - SciTePress