Benchmark:
MOT16 |
Short name:
MTDF
Detector:
Public
Description:
n/a
Reference:
Z. Fu, F. Angelini, J. Chambers, S. Naqvi. Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking. In IEEE Transactions on Multimedia, 2019.
Last submitted:
May 15, 2018 (6 years ago)
Published:
July 30, 2018 at 17:58:00 CET
Submissions:
3
Project page / code:
n/a
Open source:
No
Hardware:
i7 3.5GHz; GTX 1060
Runtime:
1.5 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 | 45.7 | 40.1 | 32.1 | 107 (14.1) | 276 (36.4) | 12,018 | 84,970 | 53.4 | 89.0 | 27.2 | 38.4 | 28.5 | 74.2 | 41.2 | 68.8 | 76.6 | 2.0 | 1,987 (37.2) | 3,377 (63.2) |
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 | 26.1 | 31.7 | 27.4 | 4 | 10 | 1,014 | 3,644 | 43.0 | 73.1 | 26.6 | 28.5 | 28.4 | 69.9 | 32.8 | 55.7 | 74.4 | 2.3 | 65 | 130 |
| MOT16-03 | 56.6 | 43.8 | 34.9 | 36 | 22 | 5,302 | 39,128 | 62.6 | 92.5 | 27.5 | 45.0 | 28.7 | 74.5 | 48.0 | 70.9 | 76.9 | 3.5 | 995 | 1,704 |
| MOT16-06 | 42.6 | 46.7 | 35.7 | 35 | 89 | 900 | 5,541 | 52.0 | 87.0 | 35.2 | 36.6 | 37.6 | 73.7 | 39.7 | 66.5 | 76.0 | 0.8 | 177 | 257 |
| MOT16-07 | 33.1 | 28.9 | 22.9 | 5 | 13 | 1,530 | 9,095 | 44.3 | 82.5 | 16.9 | 31.7 | 17.5 | 72.7 | 34.4 | 64.1 | 74.9 | 3.1 | 291 | 473 |
| MOT16-08 | 26.1 | 24.1 | 22.7 | 6 | 25 | 1,255 | 10,909 | 34.8 | 82.3 | 19.3 | 27.0 | 20.4 | 76.2 | 29.0 | 68.5 | 79.0 | 2.0 | 203 | 277 |
| MOT16-12 | 40.4 | 48.0 | 38.1 | 12 | 33 | 817 | 4,040 | 51.3 | 83.9 | 39.3 | 37.2 | 41.4 | 75.8 | 41.0 | 67.1 | 78.1 | 0.9 | 89 | 124 |
| MOT16-14 | 24.4 | 34.5 | 24.5 | 9 | 84 | 1,200 | 12,613 | 31.8 | 83.0 | 26.3 | 23.0 | 28.2 | 68.7 | 24.3 | 63.5 | 73.8 | 1.6 | 167 | 412 |
Raw data: