May 7, 2021 · Part-MOT achieves the state-of-the-art performance on public datasets, with especially strong results for object deformation and movement ...
Abstract Part‐MOT, a one‐stage anchor‐free architecture which unifies the object identification representation and detection in one task for visual object ...
Part‐MOT, a one‐stage anchor‐free architecture which unifies the object identification representation and detection in one task for visual object tracking ...
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Mar 12, 2024 · Multi-object tracking (MOT) aims to associate target objects across video frames in order to obtain entire moving trajectories. With the ...
This paper extends the popular task of multi-object tracking to multi-object tracking and segmentation (MOTS). Towards this goal, we create dense ...
A novel architecture was proposed called YOLOTracker that performs online MOT by exploiting joint detection and embedding network.
We follow the principle of a one-shot MOT, i.e., locating the targets and predicting their identity embedding in a unified network. The overall framework of the ...
Jun 7, 2024 · Multi-object tracking (MOT) aims to simultaneously locate, identify, and track multiple objects in a video [26] . Most existing multi-object ...
Real-time multi-object tracking (MOT) is a complex task involving detecting and tracking multiple objects. After the objects are detected, they are assigned ...
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