Automatic Target Retrieval in a Video-Surveillance Task

Davide Moroni, Gabriele Pieri

Abstract

In this paper we face the automatic target search problem. While performing an object tracking task, we address the problem of identifying a previously selected target when it is lost due to masking, occlusions, or quick and un-expected movements. Firstly a candidate target is identified in the scene through motion detection techniques, subsequently using a semantic categorization and content based image retrieval techniques, the candidate target is identified whether it is the correct one (i.e. the previous lost target), or not. Content Based Image Retrieval serves as support to the search problem and is performed using a reference data base which was populated a priori.

References

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Paper Citation


in Harvard Style

Moroni D. and Pieri G. (2008). Automatic Target Retrieval in a Video-Surveillance Task . In Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008) ISBN 978-989-8111-25-8, pages 113-121. DOI: 10.5220/0002340901130121


in Bibtex Style

@conference{imta08,
author={Davide Moroni and Gabriele Pieri},
title={Automatic Target Retrieval in a Video-Surveillance Task},
booktitle={Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008)},
year={2008},
pages={113-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002340901130121},
isbn={978-989-8111-25-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008)
TI - Automatic Target Retrieval in a Video-Surveillance Task
SN - 978-989-8111-25-8
AU - Moroni D.
AU - Pieri G.
PY - 2008
SP - 113
EP - 121
DO - 10.5220/0002340901130121