Multiple Object Tracking with Transformer
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Benchmarks
MOT20
Most implemented
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
MOTR: End-to-End Multiple-Object Tracking with Transformer
TransTrack: Multiple Object Tracking with Transformer
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Papers
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Open-vocabulary multiple object tracking aims to generalize trackers to unseen categories during training, enabling their application across a variety of real-world scenarios. However, the existing open-vocabulary tracke…
Decodermultimodal interactionMultiple Object TrackingMultiple Object Tracking with Transformer+1MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
In this paper, we propose MOTRv2, a simple yet effective pipeline to bootstrap end-to-end multi-object tracking with a pretrained object detector. Existing end-to-end methods, MOTR and TrackFormer are inferior to their t…
Multi-Object TrackingMultiple Object TrackingMultiple Object Tracking with TransformerMultiple People Tracking+2The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
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…
Multi-Object TrackingMultiple Object TrackingMultiple Object Tracking with TransformerMultiple People TrackingStrong-TransCenter: Improved Multi-Object Tracking based on Transformers with Dense Representations
Transformer networks have been a focus of research in many fields in recent years, being able to surpass the state-of-the-art performance in different computer vision tasks. However, in the task of Multiple Object Tracki…
Multi-Object TrackingMultiple Object TrackingMultiple Object Tracking with TransformerObject TrackingMOTR: End-to-End Multiple-Object Tracking with Transformer
Temporal modeling of objects is a key challenge in multiple object tracking (MOT). Existing methods track by associating detections through motion-based and appearance-based similarity heuristics. The post-processing nat…
Multi-Object TrackingMultiple Object TrackingMultiple Object Tracking with TransformerObject Detection+1TransTrack: Multiple Object Tracking with Transformer
In this work, we propose TransTrack, a simple but efficient scheme to solve the multiple object tracking problems. TransTrack leverages the transformer architecture, which is an attention-based query-key mechanism. It ap…
Multi-Object TrackingMultiple Object TrackingMultiple Object Tracking with TransformerObject+3