A Complete Framework for Fully-automatic People Indexing in Generic Videos

Dario Cazzato, Marco Leo, Cosimo Distante

2014

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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