Cross Camera Tracking is a computer vision technique that follows and identifies the same person, vehicle, or object as it moves across multiple cameras and different areas. Instead of treating every camera view as an independent observation, the system connects visual information from separate cameras to maintain a continuous understanding of an object’s movement.
Cross Camera Tracking is commonly used in smart cities, transportation, retail, security, and large facilities. For example, a person leaving one camera’s field of view can be matched with their appearance in another camera, allowing the system to estimate their movement through different locations. The technology typically combines object detection, visual feature extraction, camera coordination, and tracking algorithms to build a more complete picture of movement across an environment.
