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Authors: Edoardo Ardizzone ; Roberto Gallea ; Marco La Cascia and Giuseppe Mazzola

Affiliation: Università degli Studi di Palermo, Italy

Keyword(s): Firearms Detection, Visual Saliency, Probabilistic Model.

Related Ontology Subjects/Areas/Topics: Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia and Communications ; Multimedia Databases, Indexing, Recognition and Retrieval ; Multimedia Security and Cryptography ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: Object detection is one of the most challenging issues for computer vision researchers. The analysis of the human visual attention mechanisms can help automatic inspection systems, in order to discard useless infor- mation and improving performances and efficiency. In this paper we proposed our attention based method to estimate firearms position in images of people holding firearms. Both top-down and bottom-up mechanisms are involved in our system. The bottom-up analysis is based on a state-of-the-art approach. The top-down analysis is based on the construction of a probabilistic model of the firearms position with respect to the peo- ple’s face position. This model has been created by analyzing information from of a public available database of movie frames representing actors holding firearms.

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Paper citation in several formats:
Ardizzone, E.; Gallea, R.; La Cascia, M. and Mazzola, G. (2014). Combining Top-down and Bottom-up Visual Saliency for Firearms Localization. In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP; ISBN 978-989-758-046-8, SciTePress, pages 25-32. DOI: 10.5220/0005054300250032

@conference{sigmap14,
author={Edoardo Ardizzone. and Roberto Gallea. and Marco {La Cascia}. and Giuseppe Mazzola.},
title={Combining Top-down and Bottom-up Visual Saliency for Firearms Localization},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP},
year={2014},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005054300250032},
isbn={978-989-758-046-8},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP
TI - Combining Top-down and Bottom-up Visual Saliency for Firearms Localization
SN - 978-989-758-046-8
AU - Ardizzone, E.
AU - Gallea, R.
AU - La Cascia, M.
AU - Mazzola, G.
PY - 2014
SP - 25
EP - 32
DO - 10.5220/0005054300250032
PB - SciTePress

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