Foreground Background Separation for Unstable Texture Scenes

The patent segments visual elements into two categories: unstable texture regions and stable regions. Different foreground/background separation techniques are applied to each segment. Unstable regions use a technique based on weighted sum of AC coefficients and aggregate brightness, while stable regions use a technique based on pixel cluster matching with Gaussian distributions. This segmentation allows each technique to be optimized for its specific type of visual element, improving overall detection accuracy without requiring a single complex technique to handle all cases.

The patent applies different processing qualities to different regions based on their characteristics. For unstable texture regions, a lighter processing approach using AC coefficients and aggregate brightness is used. For stable regions, a more computationally intensive pixel cluster matching approach is applied. This local differentiation ensures that computational resources are focused where they are most needed (stable regions requiring precise matching) while avoiding unnecessary computation in unstable regions where the background naturally varies.

The patent performs preliminary classification of visual elements as unstable texture regions or stable regions before applying foreground/background separation. This preliminary action ensures that unstable regions are processed with techniques that account for their dynamic nature, reducing the likelihood that they will be incorrectly identified as foreground objects requiring post-processing removal. By addressing the unstable texture issue upfront through appropriate technique selection, the need for aggressive post-processing filtering is reduced, preserving real foreground objects.