Object Tracking is a computer vision technique that follows an object as it moves through a sequence of images or video frames. It identifies the object and maintains its position over time, even when the object changes location or partially leaves the camera’s view. Tracking algorithms compare visual features between frames to estimate the object’s movement and update its position continuously.
For example, a traffic camera can track a vehicle as it travels along a road. This is useful for understanding movement and behavior without manually reviewing every frame. Applications include autonomous vehicles, sports analysis, surveillance, robotics, traffic monitoring, and video analytics.
