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Authors: Marta Bautista-Durán ; Joaquín García-Gómez ; Roberto Gil-Pita ; Héctor Sánchez-Hevia ; Inma Mohino-Herranz and Manuel Rosa-Zurera

Affiliation: University of Alcalá, Spain

ISBN: 978-989-758-222-6

Keyword(s): Violence Detection, Audio Processing, Feature Selection, Real Environment, Fictional Environment.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Audio and Speech Processing ; Biomedical Engineering ; Biomedical Signal Processing ; Classification ; Computational Intelligence ; Digital Signal Processing ; Feature Selection and Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Multimedia ; Multimedia Signal Processing ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Telecommunications ; Theory and Methods

Abstract: Detecting violence is an important task due to the amount of people who suffer its effects daily. There is a tendency to focus the problem either in real situations or in non real ones, but both of them are useful on its own right. Until this day there has not been clear effort to try to relate both environments. In this work we try to detect violent situations on two different acoustic databases through the use of crossed information from one of them into the other. The system has been divided into three stages: feature extraction, feature selection based on genetic algorithms and classification to take a binary decision. Results focus on comparing performance loss when a database is evaluated with features selected on itself, or selection based in the other database. In general, complex classifiers tend to suffer higher losses, whereas simple classifiers, such as linear and quadratic detectors, offers less than a 10% loss in most situations.

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Paper citation in several formats:
Bautista-Durán M., García-Gómez J., Gil-Pita R., Sánchez-Hevia H., Mohino-Herranz I. and Rosa-Zurera M. (2017). Acoustic Detection of Violence in Real and Fictional Environments.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 456-462. DOI: 10.5220/0006195004560462

@conference{icpram17,
author={Marta Bautista-Durán and Joaquín García-Gómez and Roberto Gil-Pita and Héctor Sánchez-Hevia and Inma Mohino-Herranz and Manuel Rosa-Zurera},
title={Acoustic Detection of Violence in Real and Fictional Environments},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={456-462},
publisher={ScitePress},
organization={INSTICC},
doi={10.5220/0006195004560462},
isbn={978-989-758-222-6},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Acoustic Detection of Violence in Real and Fictional Environments
SN - 978-989-758-222-6
AU - Bautista-Durán M.
AU - García-Gómez J.
AU - Gil-Pita R.
AU - Sánchez-Hevia H.
AU - Mohino-Herranz I.
AU - Rosa-Zurera M.
PY - 2017
SP - 456
EP - 462
DO - 10.5220/0006195004560462

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