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arXiv · 2210.15281

The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge

Yuang Zhang·Tiancai Wang·Weiyao Lin·Xiangyu Zhang
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Abstract

We present our 1st place solution to the Group Dance Multiple People Tracking Challenge. Based on MOTR: End-to-End Multiple-Object Tracking with Transformer, we explore: 1) detect queries as anchors, 2) tracking as query denoising, 3) joint training on pseudo video clips generated from CrowdHuman dataset, and 4) using the YOLOX detection proposals for the anchor initialization of detect queries. Our method achieves 73.4% HOTA on the DanceTrack test set, surpassing the second-place solution by +6.8% HOTA.

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Yuang Zhang, Tiancai Wang, Weiyao Lin, Xiangyu Zhang. 2022-10-27. The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge. https://arxiv.org/abs/2210.15281

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