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1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking

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arxiv 2006.15506 v1 pith:SHA5HLT5 submitted 2020-06-28 cs.CV

Yu Wang , Sijia Chen , Li Huang , Runzhou Ge , Yihan Hu , Zhuangzhuang Ding , Jie Liao This is my paper · ORCID
classification cs.CV
keywords trackingchallengesdatasetmotaonlineopenspacetracking-by-detection
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This technical report presents the online and real-time 2D and 3D multi-object tracking (MOT) algorithms that reached the 1st places on both Waymo Open Dataset 2D tracking and 3D tracking challenges. An efficient and pragmatic online tracking-by-detection framework named HorizonMOT is proposed for camera-based 2D tracking in the image space and LiDAR-based 3D tracking in the 3D world space. Within the tracking-by-detection paradigm, our trackers leverage our high-performing detectors used in the 2D/3D detection challenges and achieved 45.13% 2D MOTA/L2 and 63.45% 3D MOTA/L2 in the 2D/3D tracking challenges.

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