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Violence detection for surveillance systems using lightweig..:

, In: 7th International Conference on Computing in Engineering & Technology (ICCET 2022),

Suba, N. ; Verma, A. ; Baviskar, P.. - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.0587

RT 
T1 <cTitle>7th International Conference on Computing in Engineering & Technology (ICCET 2022)</cTitle>: T1 <Title>Violence detection for surveillance systems using lightweight CNN models</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9800155&Exemplar=1&LAN=DE
				
A1 Suba, N.
A1 Verma, A.
A1 Baviskar, P.
A1 Varma, S.
YR 2022
K1 closed circuit television
K1 emergency services
K1 security
K1 security of data
K1 video surveillance
K1 convolutional neural nets
K1 violence detection
K1 surveillance systems
K1 lightweight CNN models
K1 CCTV cameras
K1 human error
K1 dangerous situation
K1 hostage
K1 fires
K1 intelligent system
K1 automated system
K1 deep learning techniques
K1 Deep Learning models
K1 Convolutional Neural Networks
K1 lightweight models
K1 ResNet50V2
K1 threat movements
K1 life violence situations
K1 UBI-fights
K1 video frame
K1 MobileNetV
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.0587
DO https://doi.org/10.1049/icp.2022.0587
SF ELIB - SuUB Bremen

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