Linear Programming on 3D coordinates

PETS09-S2L2 AVG-TownCentre

Short name:

LP3D

Benchmark:

Description:

The tracker builds a graphical model where nodes are the 3D detections. The solution is then found by computing the minimum cost-flow problem.

Hardware:

2.6 GHz, 16 Cores

Detector:

Public

Processing:

Batch

Last submitted:

October 27, 2014 (4 years ago)

Published:

October 27, 2014 at 20:01:43 CET

Submissions:

1

Open source:

Yes

Project page / code:

Reference:

MOT baseline: Linear programming on 3D image coordinates.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
35.953.34.020.9 % 16.4 % 3,5886,5935806592.6 GHz, 16 CoresPublic
IDF1ID PrecisionID Recall
0.00.00.0

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
PETS09-S2L245.40.054.13.24216.7 % 7.1 % 1,4073,593268296
AVG-TownCentre23.20.052.24.822621.7 % 18.1 % 2,1813,000312363

Raw data:


LP3D