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Authors: Umar Iqbal 1 ; Igor D. D. Curcio 2 and Moncef Gabbouj 1

Affiliations: 1 Tampere University of Technology, Finland ; 2 Nokia Research Center, Finland

ISBN: 978-989-758-004-8

Keyword(s): Semi-supervised Person Re-identification, Important Person Detection, Face Tracks, Clustering.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Multimedia Forensics

Abstract: Given a crowd-sourced set of videos of a crowded public event, this paper addresses the problem of detecting and re-identifying all appearances of every individual in the scene. The persons are ranked according to the frequency of their appearance and the rank of a person is considered as the measure of his/her importance. Grouping appearances of every person from such videos is a very challenging task. This is due to unavailability of prior information or training data, large changes in illumination, huge variations in camera viewpoints, severe occlusions and videos from different photographers. These problems are made tractable by exploiting a variety of visual and contextual cues i.e., appearance, sensor data and co-occurrence of people. A unified framework is proposed for efficient person matching across videos followed by their ranking. Experimental results on two challenging video data sets demonstrate the effectiveness of the proposed algorithm.

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Paper citation in several formats:
Iqbal, U.; D. D. Curcio, I. and Gabbouj, M. (2014). Who is the Hero? - Semi-supervised Person Re-identification in Videos.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 162-173. DOI: 10.5220/0004738801620173

@conference{visapp14,
author={Umar Iqbal. and Igor D. D. Curcio. and Moncef Gabbouj.},
title={Who is the Hero? - Semi-supervised Person Re-identification in Videos},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={162-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004738801620173},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Who is the Hero? - Semi-supervised Person Re-identification in Videos
SN - 978-989-758-004-8
AU - Iqbal, U.
AU - D. D. Curcio, I.
AU - Gabbouj, M.
PY - 2014
SP - 162
EP - 173
DO - 10.5220/0004738801620173

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