Multi-object tracking

Multi-Object Tracking (MOT) refers to the process of identifying and following multiple moving objects, like people or cars, in a video or real-time environment. It uses computer vision techniques to detect each object, assign unique identifiers, and track their movements over time. This allows systems to understand interactions, predict behavior, and make decisions based on the tracked objects' paths. Applications include surveillance, autonomous vehicles, and sports analytics, where understanding the dynamics of multiple entities is essential for enhancing safety, efficiency, or insights.