Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling
Author:
Affiliation:
1. Innovative AI Technologies,Newark,NJ,USA,07103
2. New Jersey Institute of Technology,Department of Computer Science,Newark,NJ,USA,07102
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9827659/9827662/09827759.pdf?arnumber=9827759
Reference30 articles.
1. A Computational Approach to Edge Detection
2. Robust Road Region Extraction in Video Under Various Illumination and Weather Conditions
3. A Statistical Modeling Method for Road Recognition in Traffic Video Analytics
4. A real time accident detection framework for traffic video analysis;ghahremannezhad;Proceedings of the Machine Learning and Data Mining in Pattern Recognition - MLDM,2020
5. Vehicle classification in video using deep learning;faruque;Proceedings of the Machine Learning and Data Mining in Pattern Recognition - MLDM,2019
Cited by 2 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. A Survey of Video Surveillance Systems in Smart City;Electronics;2023-08-23
2. Object Detection in Traffic Videos: A Survey;IEEE Transactions on Intelligent Transportation Systems;2023-07
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