We propose a novel Transformer-based module to address the data association
problem for multi-object tracking. From detections obtained by a pretrained
detector, this module uses only coordinates from bounding boxes to estimate an
affinity score between pairs of tracks extracted from two distinct temporal
windows. This module, named TWiX, is trained on sets of tracks with the
objective of discriminating pairs of tracks coming from the same object from
those which are not. Our module does not use the intersection over union
measure, nor does it requires any motion priors or any camera motion
compensation technique. By inserting TWiX within an online cascade matching
pipeline, our tracker C-TWiX achieves state-of-the-art performance on the
DanceTrack and KITTIMOT datasets, and gets competitive results on the MOT17
dataset. The code will be made available upon publication.

我们提出了一种新颖的基于 Transformer 的模块，用于解决多目标跟踪中的数据关联问题。该模块使用来自边界框的坐标来估计来自两个不同时间窗口的轨迹对之间的亲和度分数。通过将 TWiX 插入到在线级联匹配流水线中，我们的跟踪器 C-TWiX 在 DanceTrack 和 KITTIMOT 数据集上实现了最先进的性能，并在 MOT17 数据集上取得了竞争性的结果。