Engrdu An ever increasing installation of surveillance cameras at different places for ensuring public safety security and asset protection has triggered th
Video based violence detection has emerged as a critical research area in intelligent surveillance systems aiming to automatically identify aggressive and harmful human behaviors in In this work we propose a deep learning architecture for violence detection which combines both recurrent neural networks RNNs and 2 dimensional convolutional neural networks
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Traditional methods of violence detection in public spaces often struggle with low accuracy limited real time capabilities and an inability to handl Fistfight detection in video data is a critical task in video surveillance systems where identifying physical altercations in real time can enhance safety and security in public spaces Earlier
The exponential growth of video data from surveillance and online platforms has heightened the demand for intelligent explainable systems capable of detecting violence in real time Abstract In recent years the demand for intelligent surveillance systems has grown significantly due to the increasing need for enhanced security in public and private spaces This
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In this work we propose a deep learning architecture for violence detection which combines both recurrent neural networks RNNs and 2 dimensional convolutional neural networks 2D CNN In This paper proposes a deep learning based approach for anomaly detection in surveillance videos with a specific focus on identifying violent activities Traditional surveillance methods often lack the
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https://www.sciencedirect.com › science › article › pii
An ever increasing installation of surveillance cameras at different places for ensuring public safety security and asset protection has triggered th
https://link.springer.com › article
Video based violence detection has emerged as a critical research area in intelligent surveillance systems aiming to automatically identify aggressive and harmful human behaviors in
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