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SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity

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WeSamBE: A Weight-Sample-Based Method for Background Subtraction(https://github.com/aimeng100/WeSamBE)

If this code helps with your work/research, please consider citing

Shengqin Jiang, Xiaobo Lu, WeSamBE: A Weight-Sample-Based Method for Background Subtraction**. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(9):2105 - 2115.

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@article{jiang2017wesambe, title={WeSamBE: A weight-sample-based method for background subtraction}, author={Jiang, Shengqin and Lu, Xiaobo}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, year={2017}, publisher={IEEE} }

Pre-requisites

This code has been tested on a Windows 10 (x64) system, C++ 2010

References

Shengqin Jiang and Xiaobo Lu. WeSamBE: A Weight-Sample-Based Method for Background Subtraction.

Acknowledgements

This code is based on the SuBSENSE so thanks to the original authors/maintainers for releasing the code.

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