EDA_GNN: End-to-end Data Association with Graph Neural Network for Online Multiple-Object Tracking

ADL-Rundle-3


Benchmark:

MOT15 |

Short name:

EDA_GNN

Detector:

Public

Description:

n/a

Reference:

Paper ID 2713

Last submitted:

November 15, 2018 (3 years ago)

Published:

November 15, 2018 at 17:07:05 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

NVIDIA TITAN XP

Runtime:

56.4 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1521.827.823.365 (9.0)290 (40.2)11,97034,58743.769.219.528.421.561.833.653.274.22.11,488 (34.0)1,851 (42.4)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
ADL-Rundle-111.929.224.76112,6465,44241.559.424.925.127.563.732.246.175.55.3115156
ADL-Rundle-324.725.721.9392,2435,24648.468.716.130.117.066.636.852.275.03.6166133
AVG-TownCentre13.832.726.122741,8064,00843.963.524.628.529.252.834.549.972.24.0347419
ETH-Crossing20.431.724.73149469330.976.727.522.529.473.924.661.076.50.41115
ETH-Jelmoli35.642.831.911144231,14454.976.728.735.731.266.142.058.776.61.06662
ETH-Linthescher20.325.821.781373306,70025.087.125.618.528.267.819.367.576.70.38796
KITTI-1628.526.620.00228581951.975.611.435.312.349.640.659.274.81.4113117
KITTI-1911.127.422.63191,6282,94844.859.518.927.521.055.334.545.870.81.5175293
PETS09-S2L236.523.819.9221,2544,57752.580.211.335.811.958.739.860.773.02.9289406
TUD-Crossing59.236.831.25210529873.088.419.949.421.561.455.166.876.50.54735
Venice-113.721.820.1261,1562,71240.661.616.225.417.362.731.648.074.52.672119

Raw data: