Results 21 to 30 of about 2,967,782 (299)
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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Proceedings of the AAAI Conference on Artificial Intelligence, 2020 We critically appraise the recent interest in out-of-distribution (OOD) detection and question the practical relevance of existing benchmarks. While the currently prevalent trend is to consider different datasets as OOD, we argue that out-distributions of practical interest are ones where the distinction is semantic in nature for a specified context ...
Faruk Ahmed, Aaron C. Courville
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Detecting network performance anomalies with contextual anomaly detection [PDF]
2017 IEEE International Workshop on Measurement and Networking (M&N), 2017 Network performance anomalies can be defined as abnormal and significant variations in a network's traffic levels. Being able to detect anomalies is critical for both network operators and end users. However, the accurate detection without raising false alarms can become a challenging task when there is high variance in the traffic.
Dimopoulos, Giorgos +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
doaj +1 more source
Anomaly Detection with Partially Observed Anomalies [PDF]
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018 In this paper, we consider the problem of anomaly detection. Previous studies mostly deal with this task in either supervised or unsupervised manner according to whether label information is available. However, there always exists settings which are different from the two standard manners.
Ya-Lin Zhang 0001 +4 more
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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
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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 +3 more
core +1 more source
Collaborative Anomaly Detection
CoRR, 2022 In recommendation systems, items are likely to be exposed to various users and we would like to learn about the familiarity of a new user with an existing item. This can be formulated as an anomaly detection (AD) problem distinguishing between "common users" (nominal) and "fresh users" (anomalous). Considering the sheer volume of items and the sparsity
Ke Bai 0001 +5 more
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Video anomaly detection based on wake motion descriptors and perspective grids [PDF]
, 2014 This paper proposes a video anomaly detection method based on wake motion descriptors. The method analyses the motion characteristics of the video data, on a video volume- by-video volume basis, by computing the wake left behind by moving objects in the ...
Victor Sanchez +5 more
core +1 more source
IMAGE AND VIDEO ANOMALY DETECTION USING AI BASED DEEPANOMALY DETECTORS [PDF]
ICTACT Journal on Image and Video Processing, 2023 In computer vision and anomaly detection, this research delves into the application of AI-based Deep Anomaly Detectors for the identification of anomalies in images and videos.
M. Elavarasi +4 more
doaj +1 more source