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YOLOv12 for Human Object Detection in Real-time Video Surveillance Systems

open access: yesJurnal Teknologi Informatika & Komputer
This research discusses the application of the YOLO (You Only Look Once) model to detect human objects in real-time video surveillance systems. This model was developed in response to the increasing need for efficiency and accuracy in video surveillance ...
Yohanes Bowo Widodo   +2 more
doaj   +1 more source

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance. [PDF]

open access: yesSensors (Basel), 2022
Nadeem A   +7 more
europepmc   +1 more source

Robust Mixed-Rate Region-of-Interest-Aware Video Compressive Sensing for Transmission Line Surveillance Video

open access: yesInformation
Classic video compression methods usually suffer from long encode time and requires large memories, making it hard to deploy on edge devices; thus, video compressive sensing, which requires less resources during encoding, is receiving more attention.
Lisha Gao   +5 more
doaj   +1 more source

Application of region-based video surveillance in smart cities using deep learning. [PDF]

open access: yesMultimed Tools Appl, 2021
Zahra A   +4 more
europepmc   +1 more source

Smart Video Surveillance System Based on Edge Computing. [PDF]

open access: yesSensors (Basel), 2021
Cob-Parro AC   +4 more
europepmc   +1 more source

Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild. [PDF]

open access: yesSensors (Basel), 2021
Sarker MI   +4 more
europepmc   +1 more source

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