Background Subtraction

Background subtraction is a computer vision technique used to identify moving objects (the foreground) in a video by comparing each frame against a model of the static background. Common approaches include adaptive Gaussian mixture models that continuously update the background representation to handle gradual changes in lighting and scene composition. In accessibility applications, background subtraction is used in sign language detection systems to isolate hand and arm movements from the surrounding environment, and in gesture recognition systems to identify user actions for non-contact interaction.