MPNTrack: Learning a Neural Solver for Multiple Object Tracking

MOT16-01


Benchmark:

Short name:

MPNTrack

Detector:

Public

Description:

Project page / code:

n/a

Reference:

G. Brasó, L. Leal-Taixé. Learning a Neural Solver for Multiple Object Tracking. In CVPR, 2020.

Processing:

Batch

Last submitted:

April 16, 2020 (1 month ago)

Published:

April 17, 2020 at 10:41:55 CET

Submissions:

1

Open source:

Yes

Hardware:

NVIDIA Quadro P5000

Runtime:

6.7 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
MOT1658.661.778.9207 (27.3)258 (34.0)4,94970,25261.595.80.8354 (5.8)684 (11.1)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
MOT16-0150.263.876.9810643,12151.298.10.1214
MOT16-0369.267.478.864181,90030,15871.297.51.3116209
MOT16-0656.059.479.477829224,11864.388.90.838101
MOT16-0746.852.077.98125508,08050.593.71.156119
MOT16-0840.048.681.817255229,48443.393.30.84464
MOT16-1247.959.481.420363823,92552.792.00.41636
MOT16-1434.846.276.4137560911,36638.592.10.882141

Raw data: