TrajE: Centertrack + Trajectory Estimation
MOT17-08-SDP
Benchmark:
MOT17 |
Short name:
TrajE
Detector:
Public
Description:
Centertrack + Trajectory Estimation using mixture density networks
Reference:
A. Girbau, X. Gir'o-i-Nieto, I. Rius, F. Marqu'es. Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation. In arXiv preprint arXiv:2106.10950, 2021.
Last submitted:
March 05, 2021 (3 years ago)
Published:
October 29, 2020 at 16:18:52 CET
Submissions:
3
Project page / code:
n/a
Open source:
No
Hardware:
P5000
Runtime:
1.4 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT17 | 67.4 | 61.2 | 49.7 | 820 (34.8) | 587 (24.9) | 18,652 | 161,347 | 71.4 | 95.6 | 46.6 | 53.5 | 54.4 | 67.8 | 57.3 | 76.7 | 81.5 | 1.1 | 4,019 (0.0) | 6,613 (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 |
| MOT17-01-DPM | 55.4 | 46.7 | 40.6 | 8 | 5 | 256 | 2,586 | 59.9 | 93.8 | 36.5 | 45.3 | 43.7 | 68.5 | 48.3 | 75.6 | 81.0 | 0.6 | 35 | 62 |
| MOT17-01-FRCNN | 55.3 | 52.3 | 43.6 | 7 | 6 | 288 | 2,564 | 60.2 | 93.1 | 42.2 | 45.4 | 47.8 | 70.4 | 48.6 | 75.1 | 81.0 | 0.6 | 33 | 70 |
| MOT17-01-SDP | 56.2 | 47.4 | 40.4 | 10 | 5 | 333 | 2,433 | 62.3 | 92.3 | 35.5 | 46.3 | 40.2 | 69.0 | 49.9 | 74.0 | 80.6 | 0.7 | 58 | 80 |
| MOT17-03-DPM | 84.1 | 71.3 | 56.9 | 111 | 7 | 2,421 | 13,994 | 86.6 | 97.4 | 50.5 | 64.7 | 58.7 | 69.2 | 69.0 | 77.6 | 81.1 | 1.6 | 227 | 692 |
| MOT17-03-FRCNN | 84.4 | 71.7 | 57.4 | 114 | 7 | 2,359 | 13,714 | 86.9 | 97.5 | 51.2 | 64.9 | 59.2 | 69.8 | 69.2 | 77.7 | 81.1 | 1.6 | 231 | 682 |
| MOT17-03-SDP | 84.8 | 72.9 | 58.0 | 114 | 6 | 2,493 | 13,242 | 87.3 | 97.3 | 51.9 | 65.2 | 59.2 | 70.8 | 69.6 | 77.6 | 81.1 | 1.7 | 227 | 712 |
| MOT17-06-DPM | 59.8 | 52.1 | 42.9 | 78 | 53 | 572 | 3,906 | 66.9 | 93.2 | 36.7 | 50.5 | 51.7 | 53.6 | 54.7 | 76.3 | 82.9 | 0.5 | 255 | 192 |
| MOT17-06-FRCNN | 61.9 | 52.5 | 42.7 | 83 | 37 | 680 | 3,496 | 70.3 | 92.4 | 35.1 | 52.3 | 50.0 | 52.3 | 57.3 | 75.3 | 82.5 | 0.6 | 310 | 260 |
| MOT17-06-SDP | 61.2 | 52.7 | 43.0 | 86 | 43 | 677 | 3,609 | 69.4 | 92.4 | 36.0 | 51.6 | 51.1 | 52.9 | 56.6 | 75.3 | 82.6 | 0.6 | 285 | 247 |
| MOT17-07-DPM | 52.1 | 44.1 | 37.0 | 15 | 7 | 1,066 | 6,794 | 59.8 | 90.5 | 32.6 | 43.4 | 36.0 | 62.9 | 47.5 | 71.8 | 80.4 | 2.1 | 234 | 366 |
| MOT17-07-FRCNN | 52.3 | 44.0 | 37.3 | 14 | 5 | 1,085 | 6,757 | 60.0 | 90.3 | 32.8 | 43.6 | 36.6 | 64.6 | 47.8 | 71.9 | 80.5 | 2.2 | 221 | 362 |
| MOT17-07-SDP | 52.3 | 44.8 | 37.0 | 17 | 6 | 1,158 | 6,676 | 60.5 | 89.8 | 32.2 | 43.6 | 35.5 | 66.1 | 48.0 | 71.3 | 80.4 | 2.3 | 223 | 387 |
| MOT17-08-DPM | 30.9 | 33.7 | 32.0 | 12 | 35 | 182 | 14,309 | 32.3 | 97.4 | 37.8 | 27.1 | 46.5 | 64.6 | 27.8 | 84.0 | 86.0 | 0.3 | 99 | 177 |
| MOT17-08-FRCNN | 30.6 | 33.3 | 32.1 | 13 | 35 | 179 | 14,360 | 32.0 | 97.4 | 38.5 | 26.9 | 46.8 | 67.0 | 27.6 | 84.0 | 86.1 | 0.3 | 115 | 163 |
| MOT17-08-SDP | 30.9 | 33.8 | 32.3 | 13 | 35 | 184 | 14,312 | 32.2 | 97.4 | 38.7 | 27.2 | 47.1 | 65.6 | 27.9 | 84.2 | 86.1 | 0.3 | 103 | 178 |
| MOT17-12-DPM | 49.3 | 56.3 | 47.4 | 19 | 39 | 567 | 3,775 | 56.4 | 89.6 | 51.2 | 44.0 | 60.7 | 68.8 | 48.1 | 76.3 | 84.5 | 0.6 | 50 | 104 |
| MOT17-12-FRCNN | 49.6 | 58.4 | 48.0 | 19 | 39 | 546 | 3,766 | 56.5 | 90.0 | 52.0 | 44.5 | 59.3 | 70.3 | 48.3 | 76.9 | 84.6 | 0.6 | 52 | 111 |
| MOT17-12-SDP | 50.0 | 55.4 | 46.2 | 19 | 37 | 542 | 3,735 | 56.9 | 90.1 | 47.7 | 45.0 | 59.4 | 64.2 | 48.8 | 77.2 | 84.6 | 0.6 | 56 | 111 |
| MOT17-14-DPM | 42.9 | 43.4 | 33.2 | 21 | 62 | 775 | 9,397 | 49.2 | 92.1 | 30.8 | 36.2 | 35.8 | 60.3 | 38.8 | 72.8 | 80.6 | 1.0 | 379 | 517 |
| MOT17-14-FRCNN | 42.2 | 45.1 | 34.1 | 23 | 60 | 1,140 | 9,113 | 50.7 | 89.2 | 32.0 | 36.8 | 37.0 | 60.1 | 40.1 | 70.6 | 80.2 | 1.5 | 422 | 564 |
| MOT17-14-SDP | 43.9 | 43.5 | 33.8 | 24 | 58 | 1,149 | 8,809 | 52.3 | 89.4 | 30.6 | 38.0 | 35.5 | 61.2 | 41.4 | 70.7 | 80.2 | 1.5 | 404 | 576 |
Raw data:
