FairMOT

FairMOT is an advanced computer vision system designed for tracking multiple objects, such as people or vehicles, in videos. It uses deep learning to detect objects and keep track of their identities over time, ensuring consistent identification even when objects overlap or move unpredictably. By combining detection and tracking into a single, efficient model, FairMOT improves accuracy and speed, making it useful for applications like surveillance, autonomous driving, and sports analysis. Essentially, it helps computers see, recognize, and follow multiple moving objects simultaneously with high reliability.