Object association is the process of determining whether an object detected at one point in time or location corresponds to the same object detected elsewhere. It is an important capability in computer vision systems that need to maintain the identity and continuity of objects as they move, change position, or appear across different camera views.
For example, in a multi-camera surveillance system, object association can help determine that a vehicle observed leaving one camera’s field of view is the same vehicle later detected by another camera. The system can compare characteristics such as appearance, size, shape, movement patterns, and location to establish the relationship between detections. Object association is widely used in multi-object tracking, video analytics, autonomous vehicles, robotics, traffic monitoring, and smart-city applications.
