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Detection Violent Behaviors: A Survey

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Ambient Intelligence – Software and Applications (ISAmI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1239))

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Abstract

Violence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided .

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Acknowledgments

This work is supported by the European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project n\(^\circ \) 039334; Funding Reference: POCI-01-0247-FEDER-039334].

This work has been supported by national funds through FCT – Fundação para a Ciência e Tecnologia through project UIDB/04728/2020.

Author information

Authors and Affiliations

  1. CIICESI, ESTG, Instituto Politécnico do Porto, Felgueiras, Portugal

    Dalila Durães

  2. Algorithm Center, University of Minho, Braga, Portugal

    Dalila Durães, Francisco S. Marcondes, Filipe Gonçalves, José Machado & Paulo Novais

  3. Bosch Car Multimedia, Braga, Portugal

    Filipe Gonçalves & Joaquim Fonseca

Authors
  1. Dalila Durães
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  2. Francisco S. Marcondes
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  3. Filipe Gonçalves
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  4. Joaquim Fonseca
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  5. José Machado
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  6. Paulo Novais
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Corresponding author

Correspondence to Dalila Durães .

Editor information

Editors and Affiliations

  1. Departamento de Informática, University of Minho, ALGORITMI Center, Braga, Portugal

    Paulo Novais

  2. DIBRIS, University of Genoa, Genoa, Italy

    Gianni Vercelli

  3. Data Management Group, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Josep L. Larriba-Pey

  4. Department Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, Granada, Spain

    Francisco Herrera

  5. BISITE Research Group, University of Salamanca, Salamanca, Salamanca, Spain

    Pablo Chamoso

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Durães, D., Marcondes, F.S., Gonçalves, F., Fonseca, J., Machado, J., Novais, P. (2021). Detection Violent Behaviors: A Survey. In: Novais, P., Vercelli, G., Larriba-Pey, J.L., Herrera, F., Chamoso, P. (eds) Ambient Intelligence – Software and Applications . ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_11

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