70 papers with code • 8 benchmarks • 11 datasets
There has been remarkable progress on object detection and re-identification (re-ID) in recent years which are the key components of multi-object tracking.
Ranked #1 on Multi-Object Tracking on 2DMOT15 (using extra training data)
In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.
Ranked #9 on Multi-Object Tracking on MOT16 (using extra training data)
Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal association, also known as tracking-by-detection.
Ranked #2 on Multiple Object Tracking on KITTI Tracking test
Additionally, 3D MOT datasets such as KITTI evaluate MOT methods in the 2D space and standardized 3D MOT evaluation tools are missing for a fair comparison of 3D MOT methods.
Ranked #2 on 3D Multi-Object Tracking on KITTI
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Ranked #3 on Online Multi-Object Tracking on MOT16
In this paper, we bridge this gap by proposing a differentiable proxy of MOTA and MOTP, which we combine in a loss function suitable for end-to-end training of deep multi-object trackers.
Ranked #4 on Multi-Object Tracking on 2D MOT 2015