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 …
Generative cooperative learning for unsupervised video anomaly detection
Video anomaly detection is well investigated in weakly supervised and one-class
classification (OCC) settings. However, unsupervised video anomaly detection is quite …
classification (OCC) settings. However, unsupervised video anomaly detection is quite …
Anomaly analysis in images and videos: A comprehensive review
Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …
has drawn the attention of the computer vision and machine learning communities. In this …
An efficient anomaly recognition framework using an attention residual LSTM in surveillance videos
Video anomaly recognition in smart cities is an important computer vision task that plays a
vital role in smart surveillance and public safety but is challenging due to its diverse …
vital role in smart surveillance and public safety but is challenging due to its diverse …
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 …
Spatial–temporal graph attention network for video anomaly detection
H Chen, X Mei, Z Ma, X Wu, Y Wei - Image and Vision Computing, 2023 - Elsevier
Video anomaly detection, which is weakly supervised by video-level annotations, is a
frequent yet challenging task in computer vision owing to its unexpectedness, equivocality …
frequent yet challenging task in computer vision owing to its unexpectedness, equivocality …
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …
public safety and perimeter security. They are deployed in places such as markets …
Propounding first artificial intelligence approach for predicting robbery behavior potential in an indoor security camera
Crime prediction in video-surveillance systems is required to prevent incident and protect
assets. In this sense, our article proposes first artificial intelligence approach for Robbery …
assets. In this sense, our article proposes first artificial intelligence approach for Robbery …
Video Anomaly Detection: A Systematic Review of Issues and Prospects
The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …
resulted in a growing demand for intelligent systems that can accurately detect and …
A novel two-stream structure for video anomaly detection in smart city management
Video anomaly detection is the problem of detecting unusual events in videos. The
challenges of this task lie mainly in the following aspects: first, unusual events tend to make …
challenges of this task lie mainly in the following aspects: first, unusual events tend to make …