Linear Programming with Social Force Model

PETS09-S2L2 AVG-TownCentre

Short name:

LPSFM

Benchmark:

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.

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:

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.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
35.954.02.313.8 % 21.6 % 2,0318,2065206012.6 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-S2L241.30.055.71.5427.1 % 16.7 % 6404,776243271
AVG-TownCentre28.70.051.93.122615.0 % 22.6 % 1,3913,430277330

Raw data:


LPSFM