I was interested in the Detecting Motion 9code listing 1) concept in this week’s reading. Frame differencing is a simple technique that may be used to detect and quantify motions of humans (or other objects) within a video frame.
The reading emphasizes how computer vision algorithms are not naturally capable of comprehending the subtleties of various physical surroundings, despite their advanced capacity to process and analyze visual input. The physical environments in which these algorithms function can greatly increase or decrease their effectiveness. The use of surface treatments like high contrast paints or controlled illumination like backlighting, for instance, is discussed in the reading as ways to enhance algorithmic resilience and performance. This suggests that the software and the real environment need to have a symbiotic connection in which they are both designed to enhance one another.
This concept reminded me of The Rain Room. In my opinion, this installation has motion sensors that act like computer vision that allow people to move through a space where it is raining everywhere but where they are standing. The computer vision system’s exact calibration with the actual environment is crucial to the immersive experience’s success because it allows the sensors to recognize human movement and stop the rain from falling on the people.
