Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8938205/8953184/08953884.pdf?arnumber=8953884
Cited by 177 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
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2. C$$^{2}$$Net: content-dependent and -independent cross-attention network for anomaly detection in videos;Applied Intelligence;2024-01-26
3. A Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel- and Frame-Based Techniques Using Machine Learning Algorithms;Computation;2024-01-24
4. AnomalyNet: a spatiotemporal motion-aware CNN approach for detecting anomalies in real-world autonomous surveillance;The Visual Computer;2024-01-02
5. A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection;Multimedia Tools and Applications;2023-12-29
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