MOTR is a fully end-to-end multiple-object tracking framework built on DETR. It introduces track queries that model entire object trajectories across frames, performing temporal association implicitly without explicit heuristics. The system learns long-range temporal variations of objects and directly outputs tracks from video sequences using transformer architectures.