Live Object Tracking is a computer vision technique that continuously follows the position and movement of objects across successive video frames. The system first detects an object and then maintains its identity as it moves, changes direction, or temporarily becomes partially hidden. By combining visual features, motion information, and tracking algorithms, it can estimate an object’s location in real time and update its path as new frames arrive.
For example, a traffic camera can track individual vehicles as they move through an intersection, helping analyze traffic flow and detect unusual movement. The technology is useful in autonomous vehicles, sports analysis, security systems, retail analytics, robotics, and traffic management, where understanding movement in real time supports faster and more informed decisions.
