LFNF:
TUD-Crossing
Benchmark:
Short name:
LFNF
Detector:
Public
Description:
n/a
Reference:
Sheng H, Hao L, Chen J, et al. Robust Local Effective Matching Model for Multi-Target Tracking. In PCM, 2017
Last submitted:
July 10, 2017 (3 years ago)
Published:
May 16, 2017 at 03:35:10 CET
Submissions:
4
Project page / code:
n/a
Open source:
No
Hardware:
3.3 GHZ, 2 Core
Runtime:
4.0 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | MOTP | MT | ML | FP | FN | Recall | Precision | FAF | ID Sw. | Frag |
| 2D MOT 2015 | 31.6 | 33.1 | 72.0 | 69 (9.6) | 301 (41.7) | 5,943 | 35,095 | 42.9 | 81.6 | 1.0 | 961 (22.4) | 1,106 (25.8) |
Detailed performance:
| Sequence | MOTA | IDF1 | MOTP | MT | ML | FP | FN | Recall | Precision | FAF | ID Sw. | Frag |
| ADL-Rundle-1 | 17.6 | 24.3 | 73.3 | 3 | 8 | 1,751 | 5,827 | 37.4 | 66.5 | 3.5 | 94 | 97 |
| ADL-Rundle-3 | 37.2 | 36.2 | 73.3 | 4 | 10 | 1,074 | 5,193 | 48.9 | 82.2 | 1.7 | 116 | 94 |
| AVG-TownCentre | 32.5 | 42.4 | 69.9 | 34 | 74 | 732 | 3,925 | 45.1 | 81.5 | 1.6 | 170 | 265 |
| ETH-Crossing | 29.6 | 40.2 | 76.2 | 1 | 14 | 3 | 700 | 30.2 | 99.0 | 0.0 | 3 | 3 |
| ETH-Jelmoli | 40.4 | 47.0 | 74.7 | 6 | 16 | 170 | 1,304 | 48.6 | 87.9 | 0.4 | 37 | 38 |
| ETH-Linthescher | 18.5 | 25.7 | 77.1 | 5 | 150 | 58 | 7,180 | 19.6 | 96.8 | 0.0 | 38 | 41 |
| KITTI-16 | 40.8 | 36.8 | 72.9 | 0 | 2 | 181 | 785 | 53.9 | 83.5 | 0.9 | 41 | 54 |
| KITTI-19 | 30.5 | 41.0 | 65.9 | 7 | 14 | 926 | 2,692 | 49.6 | 74.1 | 0.9 | 94 | 158 |
| PETS09-S2L2 | 48.4 | 26.8 | 71.1 | 3 | 4 | 447 | 4,237 | 56.1 | 92.4 | 1.0 | 295 | 289 |
| TUD-Crossing | 64.6 | 49.6 | 74.1 | 4 | 2 | 14 | 348 | 68.4 | 98.2 | 0.1 | 28 | 24 |
| Venice-1 | 22.5 | 29.5 | 73.1 | 2 | 7 | 587 | 2,904 | 36.4 | 73.9 | 1.3 | 45 | 43 |
Raw data:
