  A background model describes a scene without any foreground objects and has a
number of applications, ranging from video surveillance to computational
photography. Recent studies have introduced the method of Dynamic Mode
Decomposition (DMD) for robustly separating video frames into a background
model and foreground components. While the method introduced operates by
converting color images to grayscale, we in this study propose a technique to
obtain the background model in the color domain. The effectiveness of our
technique is demonstrated using a publicly available Scene Background
Initialisation (SBI) dataset. Our results both qualitatively and quantitatively
show that DMD can successfully obtain a colored background model.
