Dynamic background subtraction method based on spatio‐temporal classification-Reference-Cited by-同舟云学术

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Dynamic background subtraction method based on spatio‐temporal classification

Published:2018-02-19 Issue:4 Volume:12 Page:492-501
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Li Xiying¹²³,Li Guoming¹²³,Jiang Qianyin¹²³

Affiliation:

1. Research Center of Intelligent Transportation System, School of Engineering, Sun Yat‐sen UniversityGuangzhouGuangdong510006People's Republic of China

2. Guangdong Provincial Key Laboratory of Intelligent Transportation SystemGuangzhouGuangdong510006People's Republic of China

3. Key Laboratory of Video and Image Intelligent Analysis and Application Technology, Ministry of Public SecurityGuangzhouGuangdong510006People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0339

Reference37 articles.

1. Traditional and recent approaches in background modeling for foreground detection: An overview

2. A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos

3. Robust Visual Tracking via Basis Matching

4. Multi‐layered gesture recognition with kinect;Jiang F.;J. Mach. Learn. Res.,2015

5. Evaluation of background subtraction techniques for video surveillance

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