Online Learning

Object tracking in computer vision involves detecting and following objects across multiple frames in a video. This process helps identify an object's position, movement, and trajectory over time, enabling applications like surveillance, autonomous vehicles, and activity analysis. It requires algorithms to manage challenges such as occlusion, abrupt motions, and changes in appearance to maintain accurate tracking throughout the sequence.