Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models

Y Liu, D Yang, Y Wang, J Liu, J Liu… - ACM Computing …, 2024 - dl.acm.org
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …

A comprehensive review on deep learning-based methods for video anomaly detection

R Nayak, UC Pati, SK Das - Image and Vision Computing, 2021 - Elsevier
Video surveillance systems are popular and used in public places such as market places,
shop** malls, hospitals, banks, streets, education institutions, city administrative offices …

An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey

E Şengönül, R Samet, Q Abu Al-Haija, A Alqahtani… - Applied Sciences, 2023 - mdpi.com
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …

Spatial-temporal cascade autoencoder for video anomaly detection in crowded scenes

N Li, F Chang, C Liu - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
Time-efficient anomaly detection and localization in video surveillance still remains
challenging due to the complexity of “anomaly”. In this paper, we propose a cuboid-patch …

Cloud-assisted multiview video summarization using CNN and bidirectional LSTM

T Hussain, K Muhammad, A Ullah… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The massive amount of video data produced by surveillance networks in industries instigate
various challenges in exploring these videos for many applications, such as video …

Recent advances of single-object tracking methods: A brief survey

Y Zhang, T Wang, K Liu, B Zhang, L Chen - Neurocomputing, 2021 - Elsevier
Single-object tracking is regarded as a challenging task in computer vision, especially in
complex spatio-temporal contexts. The changes in the environment and object deformation …

A hierarchical spatio-temporal graph convolutional neural network for anomaly detection in videos

X Zeng, Y Jiang, W Ding, H Li, Y Hao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep learning models have been widely used for anomaly detection in surveillance videos.
Typical models are equipped with the capability to reconstruct normal videos and evaluate …

Transformer-based deep learning network for tooth segmentation on panoramic radiographs

C Sheng, L Wang, Z Huang, T Wang, Y Guo… - Journal of systems …, 2023 - Springer
Panoramic radiographs can assist dentist to quickly evaluate patients' overall oral health
status. The accurate detection and localization of tooth tissue on panoramic radiographs is …

Weakly supervised discriminative learning with spectral constrained generative adversarial network for hyperspectral anomaly detection

T Jiang, W **e, Y Li, J Lei, Q Du - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Anomaly detection (AD) using hyperspectral images (HSIs) is of great interest for deep
space exploration and Earth observations. This article proposes a weakly supervised …

Analysis of anomaly detection in surveillance video: recent trends and future vision

R Raja, PC Sharma, MR Mahmood… - Multimedia Tools and …, 2023 - Springer
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …