Results 11 to 20 of about 352,249 (316)
Computers, Materials & Continua, 2009 The paper presents a revolutionary framework for the modeling, detection, characterization, identification, and machine-learning of anomalous behavior in observed phenomena arising from a large class of unknown and uncertain dynamical systems. An evolved behavior would in general be very difficult to correct unless the specific anomalous event that ...
Nadipuram R. Prasad +2 more
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Video anomaly detection using Cross U-Net and cascade sliding window
Journal of King Saud University: Computer and Information Sciences, 2022 As video surveillance exponentially increases, a method that automatically detects abnormal events in video surveillance is essential. Several anomaly detection methods have been proposed to detect abnormal events in video surveillance. Much research has
Yujun Kim +3 more
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Anomaly detection in video sequences: A benchmark and computational model
IET Image Processing, 2021 Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are limited in scale.
Boyang Wan +4 more
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Improvement in detection of presence in forbidden locations in video anomaly using optical flow map [PDF]
هوش محاسباتی در مهندسی برق, 2023 Anomaly detection has been in researchers’ scope of study for a long time. The wide variety of anomaly detection use cases ranges from quality control in production lines to providing security in public places.
Mohammad Rahimpour +3 more
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Multi-Perspective Anomaly Detection [PDF]
Sensors, 2021 Anomaly detection is a critical problem in the manufacturing industry. In many applications, images of objects to be analyzed are captured from multiple perspectives which can be exploited to improve the robustness of anomaly detection. In this work, we build upon the deep support vector data description algorithm and address multi-perspective anomaly ...
Peter Jakob +3 more
openaire +5 more sources
Toward Practical Crowdsourcing-Based Road Anomaly Detection With Scale-Invariant Feature
IEEE Access, 2019 Road anomaly detection with crowdsourced sensor data has become an increasingly important field of research over the last few years. Traditional ways for road anomaly detection are either threshold-based detection techniques or feature-based detection ...
Yuanyi Chen +3 more
doaj +1 more source
An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection [PDF]
, 2015 Recent work has proposed the use of a composite hypothesis Hoeffding test for statistical anomaly detection. Setting an appropriate threshold for the test given a desired false alarm probability involves approximating the false alarm probability. To that
Paschalidis, Ioannis Ch., Zhang, Jing
core +3 more sources
Pose‐driven human activity anomaly detection in a CCTV‐like environment
IET Image Processing, 2023 Human activity anomaly detection plays a crucial role in the next generation of surveillance and assisted living systems. Most anomaly detection algorithms are generative models and learn features from raw images.
Yuxing Yang +2 more
doaj +1 more source
Comparing anomaly detection methods in computer networks [PDF]
, 2010 This work in progress outlines a comparison of anomaly detection methods that we are undertaking. We are comparing different types of anomaly detection methods with the purpose of achieving results covering a broad spectrum of anomalies.
Löf, Andreas, Nelson, Richard
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KAN-based Unsupervised Multivariate Time Series Anomaly Detection Network [PDF]
Jisuanji kexueTime series data is widely present in fields such as finance,healthcare,industry,and transportation.Time Series Ano-maly Detection(TSAD) is crucial for ensuring system stability and safety.Most current time series anomaly detection methods are ...
WANG Cheng, JIN Cheng
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