Short name:
GLMBFairMOT
Detector:
Private
Description:
Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets
Reference:
L. Van Ma, T. Nguyen, C. Shim, D. Kim, N. Ha, M. Jeon. Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets. In Pattern Recognition, 2024.
Last submitted:
August 30, 2024 (3 months ago)
Published:
August 30, 2024 at 07:45:51 CET
Submissions:
1
Project page / code:
Open source:
No
Hardware:
CPU AMD Ryzen Threadripper 2950X 16-Core Processor
Runtime:
72.7 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 | 75.0 | 72.4 | 59.4 | 336 (44.3) | 118 (15.5) | 9,526 | 35,027 | 80.8 | 93.9 | 57.7 | 61.5 | 63.5 | 75.9 | 67.0 | 77.8 | 83.2 | 1.6 | 1,042 (0.0) | 1,904 (0.0) |
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 | 59.6 | 65.9 | 52.7 | 10 | 5 | 239 | 2,302 | 64.0 | 94.5 | 57.4 | 48.6 | 60.4 | 81.2 | 52.0 | 76.8 | 82.5 | 0.5 | 42 | 76 |
| MOT16-03 | 89.1 | 81.1 | 67.7 | 128 | 1 | 2,910 | 8,375 | 92.0 | 97.1 | 63.2 | 72.6 | 69.5 | 78.1 | 77.4 | 81.7 | 84.3 | 1.9 | 159 | 457 |
| MOT16-06 | 62.1 | 67.2 | 53.6 | 85 | 49 | 807 | 3,376 | 70.7 | 91.0 | 54.3 | 53.2 | 62.4 | 72.5 | 58.6 | 75.4 | 82.9 | 0.7 | 187 | 213 |
| MOT16-07 | 64.4 | 63.5 | 50.5 | 26 | 1 | 1,475 | 4,162 | 74.5 | 89.2 | 47.5 | 53.8 | 51.8 | 71.6 | 60.7 | 72.7 | 82.2 | 3.0 | 167 | 299 |
| MOT16-08 | 48.1 | 47.5 | 39.3 | 20 | 6 | 1,803 | 6,649 | 60.3 | 84.8 | 36.1 | 43.4 | 39.7 | 67.6 | 49.2 | 69.2 | 81.4 | 2.9 | 229 | 326 |
| MOT16-12 | 59.6 | 68.4 | 52.5 | 26 | 22 | 385 | 2,916 | 64.8 | 93.3 | 56.7 | 48.9 | 59.8 | 80.7 | 52.8 | 75.9 | 82.4 | 0.4 | 49 | 118 |
| MOT16-14 | 49.3 | 54.9 | 40.2 | 41 | 34 | 1,907 | 7,247 | 60.8 | 85.5 | 40.0 | 41.1 | 45.4 | 64.4 | 46.2 | 65.0 | 77.1 | 2.5 | 209 | 415 |
Raw data: