Bus Violence: a large-scale benchmark for video violence detection in public transport

Dataset The Bus Violence dataset is a large-scale collection of videos depicting violent and non-violent situations in public transport environments. This benchmark was gathered from multiple cameras located inside a moving bus where several people simulated violent actions, such as stealing an object from another person, fighting between passengers, etc. It contains 1,400 video clips manually annotated as having or not violent scenes, making it one of the biggest benchmarks for video violence detection in the literature. Specifically, videos are recorded from three cameras at 25 Frames Per Second (FPS) --- two cameras located in the corners of the bus (with resolution 960x540 px) and one fisheye in the middle (1280x960 px). The clips have a minimum length of 16 frames and a maximum of 48 frames, capturing a very precise action (either violence or non-violence). The dataset is perfectly balanced, containing 700 videos of violence and 700 videos of non-violence. The Bus Violence dataset is intended as a test data benchmark. However, for researchers interested in using our data also for training purposes, we provide training and test splits. In this repository, we provide the 1,400 video clips divided into two folders named Violence /NoViolence, containing clips of violent situations and non-violent situations, respectively; two txt files containing the names of the videos belonging to the training and test splits, respectively. Citing our work If you found this dataset useful, please cite the following paper @inproceedings{bus_violence_dataset_2022,
  title = {Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport},
doi = {10.3390/s22218345},
  url = {https://doi.org/10.3390%2Fs22218345},
  year = 2022,
  month = {oct},
  publisher = {{MDPI} {AG}},
  volume = {22},
  number = {21},
  pages = {8345},
  author = {Luca Ciampi and Pawe{\l} Foszner and Nicola Messina and Micha{\l} Staniszewski and Claudio Gennaro and Fabrizio Falchi and Gianluca Serao and Micha{\l} Cogiel and Dominik Golba and Agnieszka Szcz{\k{e}}sna and Giuseppe Amato},
journal = {Sensors}
}
and this Zenodo Dataset @dataset{pawel_bus_violence_zenodo,
author = {Paweł Foszner, Michał Staniszewski, Agnieszka Szczęsna, Michał Cogiel, Dominik Golba, Luca Ciampi, Nicola Messina, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato, Gianluca Serao},
title = {{Bus Violence: a large-scale benchmark for video violence detection in public transport}},
  month = sep,
  year = 2022,
  publisher = {Zenodo},
  version = {1.0.0},
  doi = {10.5281/zenodo.7044203},
url = {https://doi.org/10.5281/zenodo.7044203}
}
Contact Information Blees Sp. z o.o., Gliwice, Poland [e-mail] Acknowledgments The presented dataset was supported by: European Union funds awarded to Blees Sp. z o.o. under grant POIR.01.01.01-00-0952/20-00 “Development of a system for analysing vision data captured by public transport vehicles interior monitoring, aimed at detecting undesirable situations/behaviours and passenger counting (including their classification by age group) and the objects they carry”); EC H2020 project "AI4media: a Centre of Excellence delivering next generation AI Research and Training at the service of Media, Society and Democracy" under GA 951911; research project INAROS (INtelligenza ARtificiale per il mOnitoraggio e Supporto agli anziani), Tuscany POR FSE CUP B53D21008060008. License The Bus Violence dataset was acquired by Blees Sp. z o.o. and is released under a Creative Commons Attribution license for non-commercial use.

公交暴力行为数据集（Bus Violence dataset）是一个大规模的公共交通场景暴力与非暴力行为视频集。该基准数据集采集自行驶中的公交车内的多台摄像头，由多名受试者模拟各类暴力行为，例如从他人处窃取物品、乘客间斗殴等。
该数据集共包含1400条经人工标注的视频片段，分别标注为含暴力场景与不含暴力场景，是现有文献中规模最大的视频暴力检测基准数据集之一。具体而言，视频由三台摄像头录制，帧率为25帧每秒（FPS）：两台安装于公交车车厢角落，分辨率为960×540像素；一台为中间位置的鱼眼摄像头，分辨率为1280×960像素。所有视频片段的长度介于16帧至48帧之间，精准捕捉单一行为（暴力或非暴力行为）。该数据集分布完全均衡，包含700条暴力行为视频与700条非暴力行为视频。
本数据集旨在作为测试基准。不过，对于希望将该数据用于模型训练的研究人员，我们也提供了训练集与测试集的划分方案。在本代码仓库中，我们将1400条视频片段划分为两个文件夹，分别命名为Violence/NoViolence，对应暴力场景与非暴力场景视频；同时提供两个文本文件，分别包含训练集与测试集的视频文件名。

引用说明：若您认为本数据集对您的研究有所帮助，请引用以下论文与Zenodo数据集：
论文引用格式：
@inproceedings{bus_violence_dataset_2022,
title = {Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport},
doi = {10.3390/s22218345},
url = {https://doi.org/10.3390%2Fs22218345},
year = 2022,
month = {oct},
publisher = {{MDPI} {AG}},
volume = {22},
number = {21},
pages = {8345},
author = {Luca Ciampi and Paweł Foszner and Nicola Messina and Michał Staniszewski and Claudio Gennaro and Fabrizio Falchi and Gianluca Serao and Michał Cogiel and Dominik Golba and Agnieszka Szczęsna and Giuseppe Amato},
journal = {Sensors}
}
Zenodo数据集引用格式：
@dataset{pawel_bus_violence_zenodo,
author = {Paweł Foszner, Michał Staniszewski, Agnieszka Szczęsna, Michał Cogiel, Dominik Golba, Luca Ciampi, Nicola Messina, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato, Gianluca Serao},
title = {{Bus Violence: a large-scale benchmark for video violence detection in public transport}},
month = sep,
year = 2022,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.7044203},
url = {https://doi.org/10.5281/zenodo.7044203}
}

联系方式：波兰格利维采的Blees Sp. z o.o.公司，邮箱：[e-mail]

致谢：本数据集的研发得到以下项目资助：欧盟基金资助给Blees Sp. z o.o.的项目POIR.01.01.01-00-0952/20-00“开发公共交通车辆内部监控视觉数据分析系统，用于检测异常场景/行为、乘客计数（含年龄分组分类）以及乘客携带物品识别”；欧盟地平线2020项目“AI4media：服务于媒体、社会与民主的下一代人工智能研究与培训卓越中心”，项目编号GA 951911；托斯卡纳大区INAROS研究项目（面向老年人监测与支持的人工智能技术），CUP编号B53D21008060008。

许可：本数据集由Blees Sp. z o.o.公司研发，采用知识共享署名许可协议进行发布，仅允许非商业性使用。

搜集汇总

背景与挑战

背景概述

Bus Violence数据集是一个大规模的视频暴力检测基准数据集，包含1400个平衡标注的暴力与非暴力视频片段，适用于公共交通环境中的行为分析研究。数据集提供了多样化的视频源（包括不同角度和分辨率的摄像头）和明确的数据划分，支持暴力检测算法的训练与测试。