Triplet-set feature proximity learning for video anomaly detection
KM Biradar, M Mandal, S Dube, SK Vipparthi… - Image and Vision …, 2024 - Elsevier
The identification of anomalies in videos is a particularly complex visual challenge, given the
wide variety of potential real-world events. To address this issue, our paper introduces a …
wide variety of potential real-world events. To address this issue, our paper introduces a …
Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras
The behavioural and psychological symptoms of dementia, such as agitation and
aggression, present a significant health and safety risk in residential care settings. Many …
aggression, present a significant health and safety risk in residential care settings. Many …
[引用][C] AEMNet: Unsupervised Video Anomaly Detection Method Based on Attention-Enhanced Memory Networks
L Zhang, L Yan, S Peng, L Pan - International Journal of Pattern …, 2024 - World Scientific
UCSD Ped2, CHUK Avenue, and ShanghaiTech datasets, respectively. When compared to
other models, the average AUC performance is improved by 4.3%, 5.4%, and 6.2%, with an …
other models, the average AUC performance is improved by 4.3%, 5.4%, and 6.2%, with an …