论文标题
很难以不规则的动作和类似的外观跟踪对象？通过缓冲匹配空间使其更容易
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space
论文作者
论文摘要
我们提出了一个级联的缓冲iou（c-biou）跟踪器，以跟踪多个具有不规则运动和无法区分外观的对象。当外观特征不可靠并且几何特征被不规则的动作混淆时，应用传统的多个对象跟踪（MOT）方法可能会产生不令人满意的结果。为了解决这个问题，我们的C-BIOU跟踪器添加了缓冲区以扩大探测和轨道的匹配空间，从而减轻了两个方面的不规则运动的效果：一个是直接匹配相同但非重叠的探测器和相邻框架中的轨道，而另一种则是为匹配空间中的运动估算偏置补偿。此外，为了降低匹配空间过度膨胀的风险，采用了级联的匹配：首先使用较小的缓冲区进行匹配的活着轨道和检测，然后用大型缓冲区匹配无与伦比的轨道和检测。尽管它很简单，但我们的C-BIOU追踪器的运作效果非常出色，并在MOT数据集上取得了最新的结果，这些结果集中在不规则运动和无法区分的外观上。此外，C-BIOU跟踪器是我们在CVPR'22 Soccernet MOT和ECCV'22 Motcomplex Dancetrack挑战中的2 nd Place解决方案的主要组成部分。最后，我们在消融研究中分析了C-BIOU跟踪器的局限性，并讨论其应用范围。
We propose a Cascaded Buffered IoU (C-BIoU) tracker to track multiple objects that have irregular motions and indistinguishable appearances. When appearance features are unreliable and geometric features are confused by irregular motions, applying conventional Multiple Object Tracking (MOT) methods may generate unsatisfactory results. To address this issue, our C-BIoU tracker adds buffers to expand the matching space of detections and tracks, which mitigates the effect of irregular motions in two aspects: one is to directly match identical but non-overlapping detections and tracks in adjacent frames, and the other is to compensate for the motion estimation bias in the matching space. In addition, to reduce the risk of overexpansion of the matching space, cascaded matching is employed: first matching alive tracks and detections with a small buffer, and then matching unmatched tracks and detections with a large buffer. Despite its simplicity, our C-BIoU tracker works surprisingly well and achieves state-of-the-art results on MOT datasets that focus on irregular motions and indistinguishable appearances. Moreover, the C-BIoU tracker is the dominant component for our 2-nd place solution in the CVPR'22 SoccerNet MOT and ECCV'22 MOTComplex DanceTrack challenges. Finally, we analyze the limitation of our C-BIoU tracker in ablation studies and discuss its application scope.
