automata II




Connecting to the issue of surveillance, I used the open source computer vision library, OpenCV, that is used for facial recognition and surveillance cameras to apply the same CA logic from Automata I to show how image filters algorithmically reduce the complexity of an image to create a different reading of the image to compute on, in this case to read motion. It’s a filter called background subtraction.

Applied to a video of a chameleon, the analogy being the the stillness of the animal is its camouflage, and it reveals itself to the algorithm through its movement.