Benchmark:
MOT16 |
Short name:
LFNF16
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:
January 31, 2018 (6 years ago)
Published:
February 05, 2018 at 03:31:25 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
3.6 GHZ, 4 Cores
Runtime:
0.6 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT16 | 43.6 | 41.6 | 33.5 | 101 (13.3) | 347 (45.7) | 6,616 | 95,363 | 47.7 | 92.9 | 31.7 | 35.7 | 33.8 | 74.8 | 37.8 | 73.6 | 79.8 | 1.1 | 836 (17.5) | 938 (19.7) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT16-01 | 30.9 | 37.9 | 30.4 | 3 | 12 | 104 | 4,296 | 32.8 | 95.3 | 38.2 | 24.3 | 42.1 | 70.3 | 25.0 | 72.7 | 77.5 | 0.2 | 16 | 31 |
| MOT16-03 | 50.1 | 40.9 | 33.4 | 29 | 30 | 4,388 | 47,226 | 54.8 | 92.9 | 27.9 | 40.5 | 29.3 | 73.5 | 43.2 | 73.2 | 79.7 | 2.9 | 536 | 574 |
| MOT16-06 | 45.4 | 54.4 | 40.7 | 37 | 117 | 504 | 5,743 | 50.2 | 92.0 | 45.3 | 37.0 | 54.2 | 67.9 | 39.3 | 71.9 | 78.6 | 0.4 | 50 | 73 |
| MOT16-07 | 40.3 | 44.2 | 33.2 | 5 | 19 | 233 | 9,448 | 42.1 | 96.7 | 35.0 | 31.8 | 36.2 | 79.4 | 32.9 | 75.4 | 79.2 | 0.5 | 69 | 83 |
| MOT16-08 | 31.6 | 35.6 | 30.6 | 7 | 26 | 478 | 10,883 | 35.0 | 92.5 | 33.3 | 28.3 | 34.7 | 80.3 | 29.5 | 77.9 | 83.1 | 0.8 | 79 | 71 |
| MOT16-12 | 42.0 | 55.1 | 42.9 | 14 | 43 | 483 | 4,302 | 48.1 | 89.2 | 50.7 | 36.4 | 53.8 | 75.8 | 39.2 | 72.6 | 81.0 | 0.5 | 27 | 27 |
| MOT16-14 | 24.5 | 34.8 | 26.3 | 6 | 100 | 426 | 13,465 | 27.1 | 92.2 | 33.4 | 20.8 | 34.8 | 79.4 | 21.5 | 73.1 | 79.1 | 0.6 | 59 | 79 |
Raw data: