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.
Last submitted:
October 27, 2014 (10 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 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| 3D MOT 2015 | 35.9 | 0.0 | 0.0 | 37 (13.8) | 58 (21.6) | 2,031 | 8,206 | 51.1 | 80.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.3 | 520 (10.2) | 601 (11.8) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| AVG-TownCentre | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 |
| PETS09-S2L2 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 |
Raw data:
