Results 21 to 30 of about 109,015 (219)
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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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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Autonomous anomaly detection [PDF]
2017 Evolving and Adaptive Intelligent Systems (EAIS), 2017 In this paper, a new approach for autonomous anomaly detection is introduced within the Empirical Data Analytics (EDA) framework. This approach is fully data-driven and free from thresholds. Employing the nonparametric EDA estimators, the proposed approach can autonomously detect anomalies in an objective way based on the mutual distribution and ...
Gu, Xiaowei, Angelov, Plamen Parvanov
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Detecting Floor Anomalies [PDF]
Procedings of the British Machine Vision Conference 1994, 1994 When a robot moves about a 2D world such as a planar surface, it is important that obstacles to the robot's motions be detected. This classical problem of "obstacle detection" has proven to be difficult. Many researchers have formulated this problem as being the process of determining where a robot cannot move due to the presence of obstacles.
Michael R. M. Jenkin, Allan D. Jepson
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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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Suspicious and Anomaly Detection
CoRR, 2022 7 pages, 10 ...
Shubham Deshmukh +4 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
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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
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