Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis-Reference-Cited by-同舟云学术

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Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis

Published:2018-03 Issue:3 Volume:65 Page:1003-1015
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Thomaz Lucas A.^ORCID,Jardim Eric^ORCID,da Silva Allan F.^ORCID,da Silva Eduardo A. B.,Netto Sergio L.^ORCID,Krim Hamid^ORCID

Funder

CNPq

FAPERJ

CAPES

DOE-National Nuclear Security Administration through CNEC-NCSU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/8919/8293879/8068286-aam.pdf

Cited by 16 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. Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection;IEEE Access;2024

2. Automated anomaly detection and multi-label anomaly classification in crowd scenes based on optimal thresholding and deep learning strategy;International Journal of Autonomous and Adaptive Communications Systems;2024

3. Survey on video anomaly detection in dynamic scenes with moving cameras;Artificial Intelligence Review;2023-10-18

4. Change detection in moving-camera videos with limited samples using twin-CNN features and learnable morphological operations;Signal Processing: Image Communication;2023-07

5. Anomaly detection in video frames: hybrid gain optimized Kalman filter;Multimedia Tools and Applications;2023-03-10

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