CRFTrack_:
TUD-Crossing
Benchmark:
MOT15 |
Short name:
CRFTrack_
Detector:
Public
Description:
n/a
Reference:
Jun xiang, Chao Ma, Guohan Xu, Jianhua Hou, End-to-End Learning Deep CRF models for Multi-Object Tracking. In IEEE Transactions on Circuits and Systems for Video Technology, 2020
Last submitted:
June 25, 2019 (1 year ago)
Published:
June 26, 2019 at 11:13:54 CET
Submissions:
1
Project page / code:
n/a
Open source:
Yes
Hardware:
2.5GHZ
Runtime:
3.2 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MOTP | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT15 | 40.0 | 49.6 | 37.3 | 71.9 | 166 (23.0) | 206 (28.6) | 10,295 | 25,917 | 57.8 | 77.5 | 37.4 | 37.7 | 40.9 | 70.7 | 44.3 | 59.4 | 76.1 | 1.8 | 658 (11.4) | 1,508 (26.1) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MOTP | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| ADL-Rundle-1 | 21.8 | 43.4 | 34.1 | 70.7 | 11 | 2 | 3,756 | 3,445 | 63.0 | 60.9 | 35.3 | 33.7 | 37.8 | 71.8 | 47.6 | 46.0 | 75.3 | 7.5 | 75 | 176 |
| ADL-Rundle-3 | 38.2 | 45.1 | 34.9 | 75.8 | 6 | 8 | 1,568 | 4,623 | 54.5 | 77.9 | 33.2 | 37.2 | 34.7 | 76.3 | 43.5 | 62.2 | 78.9 | 2.5 | 92 | 124 |
| AVG-TownCentre | 49.0 | 63.3 | 44.5 | 68.7 | 66 | 43 | 778 | 2,789 | 61.0 | 84.9 | 47.2 | 42.3 | 53.0 | 65.9 | 46.1 | 64.1 | 73.5 | 1.7 | 75 | 353 |
| ETH-Crossing | 31.9 | 52.1 | 37.9 | 76.5 | 8 | 11 | 126 | 553 | 44.9 | 78.1 | 46.5 | 30.9 | 56.7 | 68.0 | 35.5 | 61.8 | 79.5 | 0.6 | 4 | 9 |
| ETH-Jelmoli | 48.5 | 66.4 | 46.4 | 76.2 | 16 | 13 | 440 | 857 | 66.2 | 79.2 | 49.0 | 44.0 | 58.9 | 69.0 | 52.7 | 63.1 | 79.6 | 1.0 | 9 | 46 |
| ETH-Linthescher | 34.6 | 46.6 | 35.2 | 78.2 | 21 | 114 | 252 | 5,561 | 37.7 | 93.0 | 42.6 | 29.2 | 47.6 | 75.7 | 30.5 | 75.2 | 81.0 | 0.2 | 28 | 71 |
| KITTI-16 | 51.6 | 66.1 | 44.0 | 71.7 | 4 | 1 | 184 | 617 | 63.7 | 85.5 | 45.7 | 42.5 | 48.5 | 68.6 | 47.8 | 64.1 | 75.8 | 0.9 | 22 | 56 |
| KITTI-19 | 39.8 | 58.1 | 38.6 | 67.9 | 9 | 10 | 900 | 2,267 | 57.6 | 77.4 | 40.0 | 37.5 | 43.4 | 65.9 | 43.1 | 57.9 | 73.2 | 0.9 | 52 | 201 |
| PETS09-S2L2 | 51.0 | 30.9 | 25.5 | 69.4 | 9 | 3 | 1,073 | 3,370 | 65.0 | 85.4 | 15.2 | 43.6 | 16.2 | 60.5 | 48.2 | 63.3 | 73.7 | 2.5 | 282 | 393 |
| TUD-Crossing | 80.8 | 88.8 | 59.9 | 70.2 | 10 | 0 | 42 | 163 | 85.2 | 95.7 | 61.5 | 58.4 | 65.7 | 70.9 | 62.2 | 69.9 | 75.6 | 0.2 | 7 | 25 |
| Venice-1 | 37.3 | 60.1 | 42.2 | 71.4 | 6 | 1 | 1,176 | 1,672 | 63.4 | 71.1 | 47.4 | 37.7 | 50.3 | 72.6 | 47.9 | 53.7 | 75.9 | 2.6 | 12 | 54 |
Raw data:
