The following is a scratchpad list of classic computer vision algorithms that should be implemented as modules.

• Stauffer & Grimson Background Subtraction (staffer&grimson cvpr 98)
  • Input: Any image
  • Output: A binary image labeling each pixel foreground/background
• Connected Component Analysis
  • Input: A binary image
  • Output: A vector of connected component objects
• Kalman Filter (need a more specific name)
  • Input: A vector of connected component objects
  • Output: A vector of connected component objects (filtered)