Humans recognize faces and objects effortlessly because we rely on memory and perception, without needing to crunch huge amounts of data. Computers, on the other hand, have to go through an entire process—analyzing pixel data, running algorithms, and comparing what they see to stored information just to identify something. Plus, we’re naturally good at adapting to different environments, while computers can struggle when conditions change from what they were programmed for, often leading to glitches or poor performance.
To help computers track objects better, there are a few go-to techniques. Brightness thresholding boosts contrast by filtering colors and intensities, making objects stand out more clearly. Background subtraction helps by removing the static background so the system can focus only on what’s moving. These methods make it easier for computer vision to detect and track what matters, whether in art, security, or interactive installations.
In interactive art, computer vision takes audience engagement to the next level by allowing people to actively shape the artwork with their movements and gestures. Unlike traditional static art, these installations respond in real-time, making the experience more dynamic and immersive. By tracking participants as they move, computer vision can trigger visual, auditory, or even tactile reactions, turning viewers into active contributors rather than just passive observers. This creates a deeper connection with the artwork, giving people a sense of agency in the creative process. Whether it’s motion-triggered visuals, gesture-controlled projections, or body-driven games, computer vision is expanding the possibilities of creativity in interactive media.