LP2D: Linear Programming on 2D coordinates


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Benchmark:

Short name:

LP2D

Detector:

Public

Description:

The tracker builds a graphical model where nodes are the 2D detections. The solution is then found by computing the minimum cost-flow problem.

Reference:

MOT baseline: Linear programming on 2D image coordinates.

Last submitted:

October 27, 2014 (6 years ago)

Published:

October 27, 2014 at 20:01:43 CET

Submissions:

1

Project page / code:

Open source:

Yes

Hardware:

2.6 GHz, 16 Cores

Runtime:

inf Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
2D MOT 201519.80.071.248 (6.7)297 (41.2)11,58036,04541.368.72.01,649 (39.9)1,712 (41.4)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
ADL-Rundle-10.00.00.000000.00.00.000
ADL-Rundle-30.00.00.000000.00.00.000
AVG-TownCentre0.00.00.000000.00.00.000
ETH-Crossing0.00.00.000000.00.00.000
ETH-Jelmoli0.00.00.000000.00.00.000
ETH-Linthescher0.00.00.000000.00.00.000
KITTI-160.00.00.000000.00.00.000
KITTI-190.00.00.000000.00.00.000
PETS09-S2L20.00.00.000000.00.00.000
TUD-Crossing0.00.00.000000.00.00.000
Venice-10.00.00.000000.00.00.000

Raw data: