Real time anomaly detection in H.264 compressed videos-Reference-Cited by-同舟云学术

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Real time anomaly detection in H.264 compressed videos

Published:2013-12 Issue: Volume: Page:
ISSN:
Container-title:2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)
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Author:

Biswas Sovan,Babu R Venkatesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6765546/6776148/06776164.pdf?arnumber=6776164

Cited by 20 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

1. Identification of Trajectory Anomalies on Video Surveillance Systems;International Journal of Digital Literacy and Digital Competence;2023-09-21

2. D-CViT: A lightweight denoising approach for the real-time video anomaly detection;2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC);2023-05-26

3. Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

4. WSAD-Net: Weakly Supervised Anomaly Detection in Untrimmed Surveillance Videos;Lecture Notes in Computer Science;2023

5. Optical Flow-Aware-Based Multi-Modal Fusion Network for Violence Detection;Entropy;2022-07-06

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