i am working on object tracking. i want to use background subtraction. i have tried to find out papers on background subtraction but i am really confused to use which one. I have already done tracking using just gray scale subtraction and thresholding. but now i want to model the background and then use it for tracking. i do not know much about background modelling.So, if anyone can suggest me some techniques and good papers on background subtraction and modelling, i will be greatly thankful.
The seminal paper on background modeling is Adaptive background mixture models for real-time tracking by Stauffer and Grimson.
If you have Matlab and the Computer Vision System Toolbox, then you can try using
vision.ForegroundDetector, which implements a version of their algorithm.