Violence Detection Using Deep Learning

IF 2.9 4区 综合性期刊 Q1 Multidisciplinary
Lobna Hsairi, Sara Matar Alosaimi, Ghada Abdulkareem Alharaz
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引用次数: 0

Abstract

Detecting violence is important for preserving security and reducing crime against humans, animals, and properties. Deep learning algorithms have shown potential for detecting violent acts. Further, the reach of large and diverse datasets is critical for training and testing these algorithms. In this study, the aim is to detect violence in images using deep learning techniques to enhance safety and security measures in various applications. For that, we adopted the most utilized and accurate models, such as sequential CNN, MobileNetV2, and VGG-16 which are well known in this field to measure the performance for each classification model on a large dataset of annotated images of eight classes containing both violent and non-violent content. The techniques like data augmentation, transfer learning, and fine-tuning are utilized to improve model performance. As a result, the VGG-16 model has achieved a 71% test accuracy that outperform than Sequential CNN and MobileNetV2 with suitable hyperparameters showcasing its potential for integration into surveillance systems, social media monitoring tools, and other security applications.

Abstract Image

利用深度学习进行暴力检测
检测暴力行为对于维护安全和减少针对人类、动物和财产的犯罪非常重要。深度学习算法已显示出检测暴力行为的潜力。此外,大型且多样化的数据集对于训练和测试这些算法至关重要。本研究旨在利用深度学习技术检测图像中的暴力行为,以加强各种应用中的安全和安保措施。为此,我们采用了该领域最常用、最准确的模型,如序列 CNN、MobileNetV2 和 VGG-16,在包含暴力和非暴力内容的八类注释图像的大型数据集上测量每个分类模型的性能。数据增强、迁移学习和微调等技术被用来提高模型的性能。结果,VGG-16 模型的测试准确率达到了 71%,超过了具有合适超参数的序列 CNN 和 MobileNetV2,展示了其集成到监控系统、社交媒体监控工具和其他安全应用中的潜力。
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来源期刊
Arabian Journal for Science and Engineering
Arabian Journal for Science and Engineering 综合性期刊-综合性期刊
CiteScore
5.20
自引率
3.40%
发文量
0
审稿时长
4.3 months
期刊介绍: King Fahd University of Petroleum & Minerals (KFUPM) partnered with Springer to publish the Arabian Journal for Science and Engineering (AJSE). AJSE, which has been published by KFUPM since 1975, is a recognized national, regional and international journal that provides a great opportunity for the dissemination of research advances from the Kingdom of Saudi Arabia, MENA and the world.
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