Multi-camera tracking is a computer vision technique that follows people, vehicles, or objects across footage from multiple cameras. AI models analyze visual features, movement, and camera locations to associate the same object between different views, even when it temporarily leaves one camera’s field of view. This creates a more continuous understanding of movement across a monitored environment.
For example, a shopping mall can use multiple cameras to track a customer moving from an entrance to different sections of the building. This provides broader visibility than a single camera and can improve security, traffic analysis, and operational awareness. Applications include surveillance, retail analytics, transportation, sports analysis, smart cities, and industrial monitoring.
