Dota: Unsupervised detection of traffic anomaly in driving videos
Video anomaly detection (VAD) has been extensively studied for static cameras but is much
more challenging in egocentric driving videos where the scenes are extremely dynamic …
more challenging in egocentric driving videos where the scenes are extremely dynamic …
Prime: privacy-preserving video anomaly detection via motion exemplar guidance
Y Su, H Zhu, Y Tan, S An, M Xing - Knowledge-Based Systems, 2023 - Elsevier
Video anomaly detection (VAD) involves identifying events or behaviours in video
sequences that deviate from expected patterns. Most VAD models to date focus on seeking …
sequences that deviate from expected patterns. Most VAD models to date focus on seeking …
Sequential attention mechanism for weakly supervised video anomaly detection
Surveillance cameras are installed across various sectors of a smart city in order to capture
ongoing events for monitoring purposes. The analysis of these surveillance videos is an …
ongoing events for monitoring purposes. The analysis of these surveillance videos is an …
Transanomaly: Video anomaly detection using video vision transformer
H Yuan, Z Cai, H Zhou, Y Wang, X Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Video anomaly detection is challenging because abnormal events are unbounded, rare,
equivocal, irregular in real scenes. In recent years, transformers have demonstrated …
equivocal, irregular in real scenes. In recent years, transformers have demonstrated …
Agricultural monitoring system in video surveillance object detection using feature extraction and classification by deep learning techniques
S Khan, L AlSuwaidan - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Systems that can infer crop state from low-cost sensing devices are required for
agricultural applications such as yield prediction, precision agriculture, and autonomous …
agricultural applications such as yield prediction, precision agriculture, and autonomous …
Deep video anomaly detection: Opportunities and challenges
Anomaly detection is a popular and vital task in various research contexts, which has been
studied for several decades. To ensure the safety of people's lives and assets, video …
studied for several decades. To ensure the safety of people's lives and assets, video …
Delving into clip latent space for video anomaly recognition
We tackle the complex problem of detecting and recognising anomalies in surveillance
videos at the frame level, utilising only video-level supervision. We introduce the novel …
videos at the frame level, utilising only video-level supervision. We introduce the novel …
A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments
Video surveillance has become very important in the current era of smart cities. Large
amounts of surveillance cameras are deployed at public and private places for surveillance …
amounts of surveillance cameras are deployed at public and private places for surveillance …
Crowd emotion prediction for human-vehicle interaction through modified transfer learning and fuzzy logic ranking
MR Khosravi, K Rezaee, MK Moghimi… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
In metropolitan environments, unmanned aerial vehicles (UAVs) equipped with video
surveillance equipment can monitor crowd behavior and maintain public safety. In high …
surveillance equipment can monitor crowd behavior and maintain public safety. In high …
Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis
The task of anomaly detection has recently gained much attention in the field of visual
surveillance. Video surveillance data is often available in large quantities, but manual …
surveillance. Video surveillance data is often available in large quantities, but manual …