SWCD : A sliding window and self-regulated learning based background updating method for change detection in videos
This study presents an unsupervised algorithm, called SWCD, on moving object segmentation in videos.
Youtube Videos: https://www.youtube.com/watch?v=jzbJvmIz4s4&list=PLssZYO66PkYGYpFW5PeH7IeSieFAWbwtb
Matlab Code: https://github.com/isahhin/swcd/tree/master/SWCDMatlab.
Python Code: https://github.com/isahhin/swcd/tree/master/SWCDPython.
The best results obtained with optimal parameters are avaliable in the website of http://changedetection.net/.
Free only for research purposes, for commercial use, please contact to corresponding author.
Işık, Şahin, Kemal Özkan, Serkan Günal, and Ömer Nezih Gerek. "SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos." Journal of Electronic Imaging 27, no. 2 (2018): 023002. https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-27/issue-2/023002/SWCD--a-sliding-window-and-self-regulated-learning-based/10.1117/1.JEI.27.2.023002.short?SSO=1
- Dr. Şahin Işık - Corresponding Author - Dr. Şahin Işık - Email - [email protected]