IFA_MOT: Integration framework and self-attention for online multiple object tracking
MOT16-01
Short name:
IFA_MOT
Detector:
Public
Description:
Reference:
Last submitted:
November 24, 2020 (1 year ago)
Published:
November 24, 2020 at 16:23:44 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
Inter Core i3-8100 CPU @3.6Ghz, 1 Core; NVIDIA GeForce GTX 1660, 1 Core.
Runtime:
1.8 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 | 59.8 | 48.0 | 40.4 | 199 (26.2) | 144 (19.0) | 9,118 | 61,617 | 66.2 | 93.0 | 33.3 | 49.5 | 35.9 | 74.7 | 53.5 | 75.2 | 81.2 | 1.5 | 2,599 (39.3) | 4,490 (67.8) |
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 | 53.8 | 45.1 | 41.6 | 7 | 5 | 305 | 2,600 | 59.3 | 92.6 | 38.0 | 45.9 | 39.6 | 82.4 | 49.1 | 76.6 | 82.6 | 0.7 | 50 | 109 |
| MOT16-03 | 68.1 | 49.7 | 42.5 | 53 | 17 | 3,423 | 29,107 | 72.2 | 95.7 | 33.2 | 55.1 | 35.3 | 76.3 | 58.6 | 77.7 | 81.3 | 2.3 | 849 | 1,952 |
| MOT16-06 | 56.2 | 53.7 | 43.5 | 71 | 46 | 908 | 3,848 | 66.6 | 89.4 | 39.0 | 48.8 | 46.3 | 65.5 | 54.2 | 72.8 | 81.9 | 0.8 | 301 | 394 |
| MOT16-07 | 58.9 | 49.4 | 41.6 | 18 | 4 | 1,463 | 5,019 | 69.3 | 88.5 | 35.1 | 49.9 | 36.8 | 76.1 | 56.0 | 71.6 | 81.5 | 2.9 | 219 | 437 |
| MOT16-08 | 38.6 | 31.8 | 27.5 | 6 | 14 | 598 | 9,382 | 43.9 | 92.5 | 22.6 | 34.2 | 24.5 | 72.8 | 36.3 | 76.4 | 82.9 | 1.0 | 297 | 478 |
| MOT16-12 | 48.6 | 50.8 | 40.7 | 20 | 17 | 939 | 3,185 | 61.6 | 84.5 | 38.6 | 43.4 | 43.5 | 70.8 | 49.5 | 67.9 | 80.8 | 1.0 | 138 | 283 |
| MOT16-14 | 42.1 | 45.6 | 33.7 | 24 | 41 | 1,482 | 8,476 | 54.1 | 87.1 | 31.0 | 37.3 | 33.3 | 67.4 | 41.2 | 66.3 | 77.5 | 2.0 | 745 | 837 |
Raw data:
