Salient foreground detection in urban traffic scenes using the feedback visual background extractor-Reference-Cited by-同舟云学术

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Salient foreground detection in urban traffic scenes using the feedback visual background extractor

Published:2018-10-27 Issue:4 Volume:35 Page:4609-4620
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Li Hao¹,Zhang Yunsheng²²,Leng Kaijun³,Wang Xinyan⁴

Affiliation:

1. Xian Key Laboratory of IOT Engineering, Xian University, Xian, PR China

2. School of management, Xian Jiaotong University, Xian, PR China

3. Ressearch Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, PR China

4. School of engineering, Tibet University, Lasa, PR China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference26 articles.

1. Moving object area detection using normalized self-adaptive optical flow;Sengar;Optik,2016

2. Visual tracking based on improved foreground detection and perceptual hashing;Fei;Neurocomputing,2015

3. Moving object detection using median-based scale invariant local ternary pattern for video surveillance system;Kalirajan;J Intell Fuzzy Syst,2017

4. Traditional and recent approaches in background modeling for foreground detection: An overview;Bouwmans;Comput Sci Rev,2014

5. Adaptive background mixture models for real-time tracking;Stauffer;Proc IEEE CVPR,1999

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