@ARTICLE{7920340,
author={X. Zhang and C. Zhu and H. Wu and Z. Liu and Y. Xu},
journal={IEEE Transactions on Multimedia},
title={An Imbalance Compensation Framework for Background Subtraction},
year={2017},
volume={19},
number={11},
pages={2425-2438},
keywords={Bayes methods;image classification;image sampling;video signal processing;SDS;SOS;absolute imbalance;algorithm level;cost functions;data overlapping areas;foreground class;imbalance factors;imbalance measurement;imbalance-compensation Bayesian classification;majority classes;majority samples;minority classes;minority sample set;public databases;rebalanced samples;relative imbalance;selective downsampling;spatial correlation;spatiotemporal oversampling;temporal correlation;video background subtraction;video data;Bayes methods;Cost function;Databases;Electronic mail;Feature extraction;Machine learning;Training;Background subtraction;class imbalance;imbalance compensation;imbalanced learning},
doi={10.1109/TMM.2017.2701645},
ISSN={1520-9210},
month={Nov},}