linuxsino / MCFL

Multi-Channel Fused Lasso for Motion Detection in Dynamic Video Scenarios

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

This repository is the implementation for "Multi-Channel Fused Lasso for Motion Detection in Dynamic Video Scenarios".

Note

16/10/23 Code Upload.

Content

  1. Model
  2. How to start
  3. Citation

Model

image-20231016134541497

How to start

To run the code, just simply run MCFL_demo.m.

Please note that the first-pass results of "Campus" are given. Please remove 'pass1R.mat', 'pass1G.mat', and 'pass1B.mat' from \results\Img, if you want to run the whole system.

Citation

This is a code for 'Multi-Channel Fused Lasso for Motion Detection'. If you happen to use this source code, please cite our papers:

R. Gao, X. Liu, J. Yang, and H. Yue. “Multi-Channel Fused Lasso for Motion Detection in Dynamic Video Scenarios.” IEEE Transactions on Consumer Electronics. 2024.

About

Multi-Channel Fused Lasso for Motion Detection in Dynamic Video Scenarios


Languages

Language:MATLAB 87.0%Language:Fortran 7.7%Language:C 5.1%Language:M 0.2%