Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling

Author:

Shi Hang1,Ghahremannezhad Hadi2,Liu Chengjun2

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

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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