Benchmark:
Short name:
LP3D
Detector:
Public
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.
Reference:
MOT baseline: Linear programming on 3D image coordinates.
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 | 56 (20.9) | 44 (16.4) | 3,588 | 6,593 | 60.7 | 74.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 580 (9.6) | 659 (10.9) |
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: