A hierarchical approach for improved anomaly detection in video surveillance
Anomaly detection for video surveillance gains more attention as the number of deployed
cameras constantly increases while the state-of-the-art (SOTA) machine learning methods …
cameras constantly increases while the state-of-the-art (SOTA) machine learning methods …
Universal Anomaly Detection and Applications
S Oh - 2023 - deepblue.lib.umich.edu
Anomaly detection is important in many research areas including fraud detection and
biological change detection. However, anomaly detection is a difficult task due to the lack of …
biological change detection. However, anomaly detection is a difficult task due to the lack of …
Anomaly Detection via Pattern Dictionary Method and Atypicality in Application
S Oh, J Park, Y Yoon - Journal of Sensor Science and Technology, 2023 - koreascience.kr
Anomaly detection holds paramount significance across diverse fields, encompassing fraud
detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the …
detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the …
[PDF][PDF] 패턴사전과비정형성을통한이상치탐지방법적용
오세홍， 박종성， 윤영삼 - Journal of Sensor Science and Technology, 2023 - jsstec.org
Anomaly detection holds paramount significance across diverse fields, encompassing fraud
detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the …
detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the …