LFNF:

TUD-Crossing


Benchmark:

Short name:

LFNF

Detector:

Public

Description:

n/a

Reference:

Sheng H, Hao L, Chen J, et al. Robust Local Effective Matching Model for Multi-Target Tracking. In PCM, 2017

Last submitted:

July 10, 2017 (3 years ago)

Published:

May 16, 2017 at 03:35:10 CET

Submissions:

4

Project page / code:

n/a

Open source:

No

Hardware:

3.3 GHZ, 2 Core

Runtime:

4.0 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
2D MOT 201531.633.172.069 (9.6)301 (41.7)5,94335,09542.981.61.0961 (22.4)1,106 (25.8)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
ADL-Rundle-117.624.373.3381,7515,82737.466.53.59497
ADL-Rundle-337.236.273.34101,0745,19348.982.21.711694
AVG-TownCentre32.542.469.934747323,92545.181.51.6170265
ETH-Crossing29.640.276.2114370030.299.00.033
ETH-Jelmoli40.447.074.76161701,30448.687.90.43738
ETH-Linthescher18.525.777.15150587,18019.696.80.03841
KITTI-1640.836.872.90218178553.983.50.94154
KITTI-1930.541.065.97149262,69249.674.10.994158
PETS09-S2L248.426.871.1344474,23756.192.41.0295289
TUD-Crossing64.649.674.1421434868.498.20.12824
Venice-122.529.573.1275872,90436.473.91.34543

Raw data: