Object Tracking
Object Tracking is a computer vision technique that identifies and follows objects across multiple frames of a video, maintaining their location and identity as they move through a scene.
What is Object Tracking?
Object tracking typically begins with detecting objects in one or more video frames and then associating those objects across subsequent frames. Tracking algorithms use visual features, motion, or learned representations to estimate an object's position and maintain its identity over time.
Why is Object Tracking Important?
Object tracking enables AI systems to understand movement and changes in dynamic visual environments. It can provide continuous information about where objects are and how they move, supporting real-time analysis and automated decision-making.
Common use cases
Object Tracking is commonly used in surveillance, autonomous vehicles, traffic monitoring, sports analytics, robotics, retail analytics, and video analysis.