LPSFM: Linear Programming with Social Force Model


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Benchmark:

Short name:

LPSFM

Detector:

Public

Description:

This method includes the pedestrian interaction in two ways: first, considering social and grouping behavior, and second, using a global optimization scheme to solve the data association problem.

Reference:

L. Leal-Taixé, G. Pons-Moll, B. Rosenhahn. Everybody needs somebody: modeling social and grouping behavior on a linear programming multiple people tracker. In IEEE International Conference on Computer Vision Workshops (ICCVW). 1st Workshop on Modeling, Simulation and Visual Analysis of Large Crowds, 2011.

Processing:

Batch

Last submitted:

October 27, 2014 (5 years ago)

Published:

October 27, 2014 at 20:01:43 CET

Submissions:

1

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
3D MOT 201535.90.054.037 (13.8)58 (21.6)2,0318,20651.180.92.3520 (10.2)601 (11.8)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
AVG-TownCentre0.00.00.000000.00.00.000
PETS09-S2L20.00.00.000000.00.00.000

Raw data: