[HTML][HTML] Computer vision applications in intelligent transportation systems: a survey
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …
increasingly widespread in the intelligent transportation systems (ITS) context. These …
Anomaly behavior detection analysis in video surveillance: a critical review
Anomaly detection is one of the most researched topics in computer vision and machine
learning. Manual detection of an oddity in a video costs significant time and money, so there …
learning. Manual detection of an oddity in a video costs significant time and money, so there …
Clustering aided weakly supervised training to detect anomalous events in surveillance videos
Formulating learning systems for the detection of real-world anomalous events using only
video-level labels is a challenging task mainly due to the presence of noisy labels as well as …
video-level labels is a challenging task mainly due to the presence of noisy labels as well as …
Machine learning techniques for anomaly detection in smart healthcare
M Kavitha, P Srinivas, PSL Kalyampudi… - 2021 Third …, 2021 - ieeexplore.ieee.org
Anomaly detection is a vital research problem among the different domains intrusion
detection, fraud detection, device health monitoring, fault data detection, event detection in …
detection, fraud detection, device health monitoring, fault data detection, event detection in …
An anomaly detection system for transparent objects using polarized-image fusion technique
L Yu, A Kosuge, M Hamada… - 2022 IEEE Sensors …, 2022 - ieeexplore.ieee.org
An anomaly detection system using a polarized-image fusion technique has been
developed for food inspection applications. It is capable of detecting (a) foreign objects …
developed for food inspection applications. It is capable of detecting (a) foreign objects …
A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement
I Pathirannahalage, V Jayasooriya… - Multimedia Tools and …, 2024 - Springer
The ubiquitous integration of computer vision technologies has revolutionised various
application domains, ranging from agriculture and transportation to healthcare and the …
application domains, ranging from agriculture and transportation to healthcare and the …
Enhancement of Video Anomaly Detection Performance Using Transfer Learning and Fine-Tuning
The use of surveillance cameras is a common solution that addresses the need to provide
security and manage urban traffic that arises due to the increasing population in cities. As …
security and manage urban traffic that arises due to the increasing population in cities. As …
Video anomaly detection in surveillance cameras
A Vijayan, B Meenaskshi, A Pandey… - … for Advancement in …, 2022 - ieeexplore.ieee.org
Anomalies in videos are broadly defined as events or activities that are unusual and signify
irregular behavior. The goal of anomaly detection is to identify cases that are unusual within …
irregular behavior. The goal of anomaly detection is to identify cases that are unusual within …
An algorithm for semantic vectorization of video scenes: applications to retrieval and anomaly detection
Video scene retrieval and anomaly detection are important problems in the area of computer
vision that share a common concept, of vectorization of the input image frames. We propose …
vision that share a common concept, of vectorization of the input image frames. We propose …
Grey Relational Frame Prediction Method for Anomaly Detection.
Anomaly detection is a common problem in security and protection systems. thilike
conventional methods, considering the feature correlation and the uncertain predicted …
conventional methods, considering the feature correlation and the uncertain predicted …