KCF IOU

TUD-Crossing PETS09-S2L2 ETH-Jelmoli ETH-Linthescher ETH-Crossing AVG-TownCentre ADL-Rundle-1 ADL-Rundle-3 KITTI-16 KITTI-19

Short name:

kcf_iou

Benchmark:

Description:

We use KCF for MOT apperance model, use IOU for data association.

Hardware:

8Core 8G

Detector:

Private

Processing:

Online

Last submitted:

November 26, 2018 (11 months ago)

Published:

November 23, 2018 at 09:24:01 CET

Submissions:

2

Open source:

No

Project page / code:

n/a

Reference:

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
29.271.10.910.1 % 34.5 % 5,36936,5901,5132,8598Core 8GPrivate
IDF1ID PrecisionID Recall
28.342.821.1

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing68.953.873.40.11353.8 % 0.0 % 272991745
PETS09-S2L223.118.567.01.8420.0 % 38.1 % 7696,243400686
ETH-Jelmoli39.939.973.80.84517.8 % 31.1 % 3381,13156126
ETH-Linthescher52.035.573.60.319715.7 % 38.6 % 4133,672201339
ETH-Crossing58.739.879.80.22615.4 % 34.6 % 493471834
AVG-TownCentre17.614.364.22.42262.2 % 29.2 % 1,0744,428390616
ADL-Rundle-117.526.871.61.53218.8 % 62.5 % 7336,87174190
ADL-Rundle-333.632.776.01.24420.5 % 34.1 % 7505,881122235
KITTI-1610.119.663.41.2170.0 % 41.2 % 2561,21163135
KITTI-1924.934.768.50.7621.6 % 29.0 % 7163,187111273
Venice-120.625.468.30.51711.8 % 47.1 % 2443,32061180

Raw data:

n/a


kcf_iou