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Global Tracking Transformers. (arXiv:2203.13250v2 [cs.CV] UPDATED)
April 27, 2022, 1:10 a.m. | Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
cs.CV updates on arXiv.org arxiv.org
We present a novel transformer-based architecture for global multi-object
tracking. Our network takes a short sequence of frames as input and produces
global trajectories for all objects. The core component is a global tracking
transformer that operates on objects from all frames in the sequence. The
transformer encodes object features from all frames, and uses trajectory
queries to group them into trajectories. The trajectory queries are object
features from a single frame and naturally produce unique trajectories. Our
global tracking …
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