Concept drift adaptation in video surveillance: A systematic review
VPM Goncalves, LP Silva, FLS Nunes… - Multimedia Tools and …, 2024 - Springer
The world we live in is dynamic by nature. Frequently, the environment changes in ways we
cannot predict. In machine learning, the phenomenon that occurs when a model has its …
cannot predict. In machine learning, the phenomenon that occurs when a model has its …
Dynamic Learning for Improving Anomalous Event Prediction in Surveillance Videos
JC Divya, TT Mirnalinee, J Bhuvana - Arabian Journal for Science and …, 2024 - Springer
Video anomaly detection plays a crucial role in applications such as surveillance, crowd
monitoring, and industrial safety where vast amounts of video data are generated daily …
monitoring, and industrial safety where vast amounts of video data are generated daily …
Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and
intelligent surveillance systems. The goal of anomaly detection is to automatically detect the …
intelligent surveillance systems. The goal of anomaly detection is to automatically detect the …
Deep Custom Transfer Learning Models for Recognizing Human Activities via Video Surveillance
S Gupta, RP Mahapatra - 2023 - researchsquare.com
The use of video surveillance for human activity recognition (HAR) in inpatient rehabilitation,
activity recognition, or mobile health monitoring has grown in popularity recently. Before …
activity recognition, or mobile health monitoring has grown in popularity recently. Before …