Are there methods that attempt to differentiate foreground and background in a single static image?
Standard OpenCV background subtraction works by correlating multiple images, but in this case, I have only a single image. I do realize that the methodology would be completely different, but I'm not sure what other terms to use other than foreground and background. (So appropriate keywords for a search would be great)
The background image in this case is fairly monotonous. Think 'wall with some noise.' The value (luminance) of some of the 'foreground' objects can be relatively close to the background, but I'm guessing that some relatively sophisticated algorithms have been developed to deal with this.