Results 151 to 160 of about 107,551 (188)

Anomalous Event Detection in Surveillance Videos using Spatio-temporal Autoencoders

International Journal of Advanced Trends in Computer Science and Engineering, 2022
Surveillance cameras are proliferating, and millions of devices are being used to capture endless footage of surveillance videos. With the advancements in computer vision and deep learning, we can now contemplate these videos to detect anomalies. In this paper, we propose to identify anomalies by using Spatiotemporal autoencoders.
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Detecting Anomalous Event Timings in Cybersecurity Logs

Joint Statistical Meetings - Toronto, , Canada - August - 2023, 2023
Alexander Foss, Mayuri Shakamuri, Shawn Martin, Toya Acharya   +3 more
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Crowdsourcing based radio map anomalous event detection system for calibration-on-demand

2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014
Calibrations for Wi-Fi Indoor Positioning Systems (IPS) are expensive and time-consuming. Recalibrations are necessary periodically to compensate the drifts of radio map. Many crowdsourcing-based approaches have been proposed to calibrate the radio map strategically with user-contributed data.
Dezhi Zhang, Guoping Qiu, Yupeng Gao, Fang, Xiong, Cheng, Rui, Chang, Andy, Chuen-Yu Chan   +6 more
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Anomalous-Aggressive Event Detection Techniques

2023
Manar M. F. Donia, Aliaa A. A. Youssif, Wessam M. H. El-Behaidy   +2 more
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Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos

IEEE Transactions on Neural Networks and Learning Systems
Weakly supervised video anomaly detection (WS-VAD) aims to identify the snippets involving anomalous events in long untrimmed videos, with solely text video-level binary labels. A typical paradigm among the existing text WS-VAD methods is to employ multiple modalities as inputs, e.g., RGB, optical flow, and audio, as they can provide sufficient ...
Tianshan Liu, Kin-Man Lam, Jun Kong
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Multi-users interaction anomalous subgraph detection for event mining

Neurocomputing, 2022
Yang Yu, Wenjun Wang, Minglai Shao, Nannan Wu, Ying Sun, Yueheng Sun, Qiang Tian   +6 more
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Detection of Fiber Macro-Bending Anomalous Events in Operator Networks

Optical Fiber Communication Conference (OFC) 2025
We experimentally measure the specific spectral signature of strong fiber bending and propose a metric to detect strong bending events. Leveraging telemetry from a production network we report short-lived anomalies which exhibit the aforementioned signature.
Petros Ramantanis, Sébastien Bigo, Fabien Boitier, Armen Aghasaryan, Camille Delezoide, Matteo Lonardi, Patricia Layec, Allain Legacy, Sylvain Chenard, Eliana Vercelli, Giovanni Bellotti   +10 more
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Anomalous event detection and localization in dense crowd scenes

Multimedia Tools and Applications, 2022
Areej Alhothali, Amal Balabid, Reem Alharthi, Bander Alzahrani, Reem Alotaibi, Ahmed Barnawi   +5 more
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Anomalous Hall antiferromagnets

Nature Reviews Materials, 2022
Allan H Macdonald, Jairo Sinova, Satoru Nakatsuji   +2 more
exaly  

Injecting Text Clues for Improving Anomalous Event Detection From Weakly Labeled Videos

IEEE Transactions on Image Processing
Video anomaly detection (VAD) aims at localizing the snippets containing anomalous events in long unconstrained videos. The weakly supervised (WS) setting, where solely video-level labels are available during training, has attracted considerable attention, owing to its satisfactory trade-off between the detection performance and annotation cost ...
Tianshan Liu, Kin-Man Lam, Bing-Kun Bao
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