2022 IEEE World AI IoT Congress (AIIoT) 2022
DOI: 10.1109/aiiot54504.2022.9817374
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Violence Detection Using Computer Vision Approaches

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Cited by 4 publications
(4 citation statements)
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“…CNNs extract spatial features, and these features are fed as input to the LSTM to extract temporal features. There are two distinct phases, with the LSTM being fed from the features extracted by the CNN and the LSTM [35,36]. • CNN: Articles that rely exclusively on CNNs for violence detection in videos.…”
Section: Selected Article Descriptionmentioning
confidence: 99%
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“…CNNs extract spatial features, and these features are fed as input to the LSTM to extract temporal features. There are two distinct phases, with the LSTM being fed from the features extracted by the CNN and the LSTM [35,36]. • CNN: Articles that rely exclusively on CNNs for violence detection in videos.…”
Section: Selected Article Descriptionmentioning
confidence: 99%
“…Thus, it has been possible to observe the most used algorithms in phases 1 and 2 of the process of detecting violence in videos, as well as the most used combinations. [29,35,39,43,45,49,50,53,[56][57][58][59][60][62][63][64]66,71,74,76,77,[86][87][88]92].…”
Section: Violence Detection Algorithmsmentioning
confidence: 99%
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