INARLA:

TUD-Crossing


Benchmark:

Short name:

INARLA

Detector:

Public

Description:

n/a

Reference:

H. Wu, Y. Hu, K. Wang, H. Li, L. Nie, H. Cheng. Instance-aware representation learning and association for online multi-person tracking. In Pattern Recognition, 2019.

Last submitted:

February 11, 2018 (2 years ago)

Published:

August 09, 2019 at 10:02:30 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

CPU: 8 core, 3.7 GHz, GPU: Tesla K40

Runtime:

2.6 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
2D MOT 201534.742.170.790 (12.5)216 (30.0)9,85529,15852.576.61.71,112 (21.2)2,848 (54.2)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
ADL-Rundle-120.142.169.2633,4633,86858.461.16.9100402
ADL-Rundle-336.037.875.0781,3835,01450.778.82.2109221
AVG-TownCentre32.145.767.420549553,64949.078.62.1250570
ETH-Crossing35.248.574.92117256643.685.90.31222
ETH-Jelmoli48.157.173.9131332995562.482.80.73376
ETH-Linthescher41.348.373.3201044724,70447.390.00.469164
KITTI-1632.955.067.40132978653.873.61.626113
KITTI-1924.446.966.77151,3242,64950.467.01.367326
PETS09-S2L240.526.169.9357034,65751.787.61.6380743
TUD-Crossing73.063.373.3701226076.498.60.12551
Venice-136.440.169.0528132,05055.175.61.841160

Raw data: