Published October 31, 2022 | Version v1
Journal article Open

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport

  • 1. Institute of Information Science and Technologies, National Research Council, Pisa, Italy
  • 2. Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland
  • 3. University of Pisa, Pisa, Italy
  • 4. Blees sp. z o.o., Gliwice, Poland

Description

Automatic detection of violent actions in public places through video analysis is difficult because the employed Artificial Intelligence-based techniques often suffer from generalization problems. Indeed, these algorithms hinge on large quantities of annotated data and usually experience a drastic drop in performance when used in scenarios never seen during the supervised learning phase. In this paper, we introduce and publicly release the Bus Violence benchmark, the first large-scale collection of video clips for violence detection in public transport, where some actors simulated violent actions inside a moving bus in changing conditions such as background or light. Moreover, we conduct a performance analysis of several state-of-the-art video violence detectors pre-trained with general violence detection databases on this newly established use case. The achieved moderate performances reveal the difficulties in generalizing from these popular methods, indicating the need to have this new collection of labeled data beneficial to specialize them in this new scenario.

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bus_violence_an_open_benchmark_for_video_violence_detection_on_public_transpor.pdf

Additional details

Related works

Has part
Dataset: 10.5281/zenodo.7044203 (DOI)

Funding

European Commission
AI4Media – A European Excellence Centre for Media, Society and Democracy 951911