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In-Car Violence Detection Based on the Audio Signal

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Abstract

When it is intended to detect violence in the car, audio, speech processing, music, and ambient sound are some of the main points of this problem since it is necessary to find the similarities and differences between these domains. The recent increase in interest in deep learning has allowed practical applications in many areas of signal processing, often surpassing traditional signal processing on a large scale. This paper presents a comparative study of state-of-the-art deep learning architectures applied for inside car violence detection based only on the audio signal. The methodology proposed for audio signal representation was Mel-spectrogram, after an in-depth review of the literature. We build an In-Car video dataset in the experiments and apply four different deep learning architectures to solve the classification problem. The results have shown that the ResNet-18 model presents the best accuracy results on the test set.

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Acknowledgments

This work is supported by: 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].

Author information

Authors and Affiliations

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

    Flávio Santos, Dalila Durães, Francisco S. Marcondes, José Machado & Paulo Novais

  2. Bosch Car Multimedia, Braga, Portugal

    Niklas Hammerschmidt & Sascha Lange

Authors
  1. Flávio Santos

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  2. Dalila Durães

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  3. Francisco S. Marcondes

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  4. Niklas Hammerschmidt

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  5. Sascha Lange

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  6. José Machado

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  7. Paulo Novais

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Corresponding author

Correspondence toDalila Durães.

Editor information

Editors and Affiliations

  1. University of Manchester, Manchester, UK

    Hujun Yin

  2. Universidad Politecnica de Madrid, Madrid, Spain

    David Camacho

  3. University of Birmingham, Birmingham, UK

    Peter Tino

  4. University of Manchester, Manchester, UK

    Richard Allmendinger

  5. University of Huelva, Huelva, Spain

    Antonio J. Tallón-Ballesteros

  6. Southern University of Science and Technology, Shenzhen, China

    Ke Tang

  7. Yonsei University, Seoul, Korea (Republic of)

    Sung-Bae Cho

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. NOVA University of Lisbon, Lisbon, Portugal

    Susana Nascimento

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Santos, F.et al. (2021). In-Car Violence Detection Based on the Audio Signal. In: Yin, H.,et al. Intelligent Data Engineering and Automated Learning – IDEAL 2021. IDEAL 2021. Lecture Notes in Computer Science(), vol 13113. Springer, Cham. https://doi.org/10.1007/978-3-030-91608-4_43

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