Articles with "violence detection" as a keyword



WiVi: A Ubiquitous Violence Detection System With Commercial WiFi Devices

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2019.2962813

Abstract: School violent behaviors is a serious problem that greatly affects the healthy growth of the youth and the children. Current prevention measures mainly depend on propaganda and self-report. So far, there is still no effective… read more here.

Keywords: commercial wifi; detection system; violence detection;
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Violence Detection Enhancement by Involving Convolutional Block Attention Modules Into Various Deep Learning Architectures: Comprehensive Case Study for UBI-Fights Dataset

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3267409

Abstract: Violence detection in surveillance videos is a complicated task, due to the requirements of extracting the spatio-temporal features in different videos environment, and various video perspective cases. Hereby, in this paper, different architectures are proposed… read more here.

Keywords: violence; violence detection; case study; ubi fights ... See more keywords

MCL: A Contrastive Learning Method for Multimodal Data Fusion in Violence Detection

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Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3227818

Abstract: Multimodal learning among video and audio has shown significant performance improvement in violence detection. However, video and audio do not contribute consistently, and the video modality tends to dominate when determining whether a certain scene… read more here.

Keywords: violence; video audio; violence detection; multimodal ... See more keywords

AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks

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Published in 2022 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2021.3116377

Abstract: Analyzing surveillance videos is mandatory for the public and industrial security. Overwhelming growth in computer vision fields has been made to automate the surveillance system in terms of human activity recognition, such as behavior analysis… read more here.

Keywords: surveillance; assisted edge; violence detection; detection ... See more keywords

Violence Detection in Video Using Statistical Features of the Optical Flow and 2D Convolutional Neural Network

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Published in 2025 at "Computational Intelligence"

DOI: 10.1111/coin.70034

Abstract: The rapid growth of video data has resulted in an increasing need for surveillance and violence detection systems. Although such events occur less frequently than normal activities, developing automated video surveillance systems for violence detection… read more here.

Keywords: violence detection; optical flow; video; statistical features ... See more keywords
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VioNets: efficient multi-modal fusion method based on bidirectional gate recurrent unit and cross-attention graph convolutional network for video violence detection

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Published in 2023 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.32.2.023031

Abstract: Abstract. Recent research on video violence detection has made great progress with the development of multi-modal fusion techniques. However, existing approaches still pose huge challenges in real-time violence detection due to fusion features being fixed… read more here.

Keywords: violence; fusion; violence detection; modal ... See more keywords

Optical Flow-Aware-Based Multi-Modal Fusion Network for Violence Detection

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Published in 2022 at "Entropy"

DOI: 10.3390/e24070939

Abstract: Violence detection aims to locate violent content in video frames. Improving the accuracy of violence detection is of great importance for security. However, the current methods do not make full use of the multi-modal vision… read more here.

Keywords: violence; fusion; violence detection; detection ... See more keywords

PiercingEye: Dual-Space Video Violence Detection with Hyperbolic Vision-Language Guidance

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Published in 2025 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.48550/arxiv.2504.18866

Abstract: Existing weakly supervised video violence detection (VVD) methods primarily rely on Euclidean representation learning, which often struggles to distinguish visually similar yet semantically distinct events due to limited hierarchical modeling and insufficient ambiguous training samples.… read more here.

Keywords: violence detection; video violence; space; violence ... See more keywords

State-of-the-art violence detection techniques in video surveillance security systems: a systematic review

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Published in 2022 at "PeerJ Computer Science"

DOI: 10.7717/peerj-cs.920

Abstract: We investigate and analyze methods to violence detection in this study to completely disassemble the present condition and anticipate the emerging trends of violence discovery research. In this systematic review, we provide a comprehensive assessment… read more here.

Keywords: violence; state art; violence detection;