TEVAD: Improved video anomaly detection with captions

W Chen, KT Ma, ZJ Yew, M Hur… - Proceedings of the …, 2023 - openaccess.thecvf.com
Video surveillance systems are used to enhance the public safety and private assets.
Automatic anomaly detection is vital in such surveillance systems to reduce the human labor …

Taxonomy of anomaly detection techniques in crowd scenes

A Aldayri, W Albattah - Sensors, 2022 - mdpi.com
With the widespread use of closed-circuit television (CCTV) surveillance systems in public
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …

Online human action detection and anticipation in videos: A survey

X Hu, J Dai, M Li, C Peng, Y Li, S Du - Neurocomputing, 2022 - Elsevier
To meet the demand for powerful models for practical applications in real time, the focus of
research on human actions has shifted from offline detection to online and real-time …

Bi-directional frame interpolation for unsupervised video anomaly detection

H Deng, Z Zhang, S Zou, X Li - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Anomaly detection in video surveillance aims to detect anomalous frames whose properties
significantly differ from normal patterns. Anomalies in videos can occur in both spatial …

Unsupervised anomaly video detection via a double-flow convlstm variational autoencoder

L Wang, H Tan, F Zhou, W Zuo, P Sun - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid increase of video surveillance points in the market in recent years, video
anomaly detection has gained extensive attention in the security field. At present, the …

Vlmah: Visual-linguistic modeling of action history for effective action anticipation

V Manousaki, K Bacharidis… - Proceedings of the …, 2023 - openaccess.thecvf.com
Although existing methods for action anticipation have shown considerably improved
performance on the predictability of future events in videos, the way they exploit information …

An IoT enable anomaly detection system for smart city surveillance

M Islam, AS Dukyil, S Alyahya, S Habib - Sensors, 2023 - mdpi.com
Since the advent of visual sensors, smart cities have generated massive surveillance video
data, which can be intelligently inspected to detect anomalies. Computer vision-based …

IoMT-assisted medical vehicle routing based on UAV-Borne human crowd sensing and deep learning in smart cities

K Rezaee, MR Khosravi, H Attar… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
An emergency medical vehicle can save the patient's life if it arrives at his location as quickly
as possible. Unmanned aerial vehicles (UAVs) offer wide visibility and mobility, making them …

A novel GAN-based anomaly detection and localization method for aerial video surveillance at low altitude

D Avola, I Cannistraci, M Cascio, L Cinque, A Diko… - Remote Sensing, 2022 - mdpi.com
The last two decades have seen an incessant growth in the use of Unmanned Aerial
Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to …

FathomNet: A global image database for enabling artificial intelligence in the ocean

K Katija, E Orenstein, B Schlining, L Lundsten… - Scientific reports, 2022 - nature.com
The ocean is experiencing unprecedented rapid change, and visually monitoring marine
biota at the spatiotemporal scales needed for responsible stewardship is a formidable task …