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This is our 2nd-place solution for the ECCV 2022 Multiple People Tracking inGroup Dance Challenge. Our method mainly includes two steps: online short-termtracking using our Cascaded Buffer-IoU (C-BIoU) Tracker, and, offline long-termtracking using appearance feature and hierarchical clustering. Our C-BIoUtracker adds buffers to expand the matching space of detections and tracks,which mitigates the effect of irregular motions in two aspects: one is todirectly match identical but non-overlapping detections and tracks in adjacentframes, and the other is to compensate for the motion estimation bias in thematching space. In addition, to reduce the risk of overexpansion of thematching space, cascaded matching is employed: first matching alive tracks anddetections with a small buffer, and then matching unmatched tracks anddetections with a large buffer. After using our C-BIoU for online tracking, weapplied the offline refinement introduced by ReMOTS.

The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge