GGDA: Group guided data association for multiple object tracking

MOT20-04


Benchmark:

MOT20 | MOT15 | MOT17 |

Short name:

GGDA

Detector:

Public

Description:

Reference:

Last submitted:

February 25, 2022 (9 months ago)

Published:

February 26, 2022 at 07:02:04 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

cpu i7-9700K, gpu 2080ti, ram 64GB

Runtime:

0.4 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2064.465.753.4746 (60.1)143 (11.5)70,976110,61478.685.152.454.758.170.864.069.381.615.82,708 (0.0)2,354 (0.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT20-0483.078.563.45202421,36224,63691.092.160.466.865.377.474.675.582.510.3687571
MOT20-0645.050.940.61205826,57845,24765.976.738.143.644.858.053.261.979.826.41,211946
MOT20-0765.561.848.9481189610,38368.696.246.651.751.471.455.277.481.81.5134248
MOT20-0831.444.937.7585022,14030,34860.868.038.837.146.858.048.754.479.727.5676589

Raw data: