AIBM: Accurate and Instant Background Modeling for Moving Object Detection-Reference-Cited by-同舟云学术

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AIBM: Accurate and Instant Background Modeling for Moving Object Detection

Published:2021 Issue: Volume: Page:1-16
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Kim Woo Jin,Hwang Sangwon,Lee Junhyeop,Woo Sungmin,Lee Sangyoun

Funder

Korea government Ministry of Science and ICT MSIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09468367.pdf?arnumber=9468367

Cited by 9 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. GHAFNet: Global-context hierarchical attention fusion method for traffic object detection;Multimedia Tools and Applications;2024-02-05

2. A Locally Weighted Linear Regression-Based Approach for Arbitrary Moving Shaky and Nonshaky Video Classification;International Journal of Pattern Recognition and Artificial Intelligence;2024-01-29

3. Moving object detection in satellite videos based on an improved ViBe algorithm;Signal, Image and Video Processing;2023-12-30

4. Vehicular Abandoned Object Detection Based on VANET and Edge AI in Road Scenes;IEEE Transactions on Intelligent Transportation Systems;2023-12

5. Background initialization in video data using singular value decomposition and robust principal component analysis;International Journal of Computers and Applications;2023-09-02

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