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Real-time foreground detection approach based on adaptive ensemble learning with arbitrary algorithms for changing environments

  • Published:2018-01 Issue: Volume:39 Page:154-167
  • ISSN:1566-2535
  • Container-title:Information Fusion
  • language:en
  • Short-container-title:Information Fusion

Author:

Chan Yi-Tung,Wang Shuenn-Jyi,Tsai Chung-Hsien

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference51 articles.

1. Evaluation of background subtraction techniques for video surveillance;Brutzer,2011

2. Video-based human behavior understanding: a survey;Borges;IEEE Trans. Circuits Syst. Video Technol.,2013

3. Adaptive background mixture models for real-time tracking;Stauffer,1999

4. Robust foreground segmentation using improved Gaussian Mixture Model and optical flow;Fradi,2012

5. Adaptively splitted GMM with feedback improvement for the task of background subtraction;Evangelio;IEEE Trans. Inf. Forensics Secur,2014

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