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Authors: Dario Cazzato 1 ; Marco Leo 2 and Cosimo Distante 2

Affiliations: 1 University of Salento, Italy ; 2 National Research Council of Italy, Italy

ISBN: 978-989-758-004-8

Keyword(s): Hartigan Index, Silhouette, Face Indexing, People Identification, Clustering.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Segmentation and Grouping

Abstract: Face indexing is a very popular research topic and it has been investigated over the last 10 years. It can be used for a wide range of applications such as automatic video content analysis, data mining, video annotation and labeling, etc. In this work a fully automated framework that can detect how many people are present in a generic video (even having low resolution and/or taken from a mobile camera) is presented. It also extracts the intervals of frames in which each person appears. The main contributions of the proposed work are that no initializations neither a priory knowledge about the scene contents are required. Moreover, this approach introduces a generalized version of the k-means method that, through different statistical indices, automatically determines the number of people in the scene.

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Paper citation in several formats:
Cazzato, D.; Leo, M. and Distante, C. (2014). A Complete Framework for Fully-automatic People Indexing in Generic 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 248-255. DOI: 10.5220/0004653502480255

@conference{visapp14,
author={Dario Cazzato. and Marco Leo. and Cosimo Distante.},
title={A Complete Framework for Fully-automatic People Indexing in Generic Videos},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={248-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004653502480255},
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 - A Complete Framework for Fully-automatic People Indexing in Generic Videos
SN - 978-989-758-004-8
AU - Cazzato, D.
AU - Leo, M.
AU - Distante, C.
PY - 2014
SP - 248
EP - 255
DO - 10.5220/0004653502480255

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