LFNF:


Benchmark:

Short name:

LFNF

Detector:

Public

Description:

n/a

Project page / code:

n/a

Reference:

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

Processing:

Batch

Last submitted:

July 10, 2017 (2 years ago)

Published:

May 16, 2017 at 03:35:10 CET

Submissions:

4

Open source:

No

Hardware:

3.3 GHZ, 2 Core

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
2D MOT 201531.633.172.069.0301.05,94335,095961

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
ADL-Rundle-117.624.373.33.08.01,7515,82794
ADL-Rundle-337.236.273.34.010.01,0745,193116
AVG-TownCentre32.542.469.934.074.07323,925170
ETH-Crossing29.640.276.21.014.037003
ETH-Jelmoli40.447.074.76.016.01701,30437
ETH-Linthescher18.525.777.15.0150.0587,18038
KITTI-1640.836.872.90.02.018178541
KITTI-1930.541.065.97.014.09262,69294
PETS09-S2L248.426.871.13.04.04474,237295
TUD-Crossing64.649.674.14.02.01434828
Venice-122.529.573.12.07.05872,90445

Raw data:


LFNF