Benchmark:
MOT16 |
Short name:
eHAF16
Detector:
Public
Description:
n/a
Reference:
H. Sheng, Y. Zhang, J. Chen, Z. Xiong, J. Zhang. Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking. In IEEE Transactions on Circuits and Systems for Video Technology, 2018.
Last submitted:
December 25, 2017 (6 years ago)
Published:
September 01, 2018 at 05:40:44 CET
Submissions:
3
Project page / code:
n/a
Open source:
No
Hardware:
4 GHz, 4 Core
Runtime:
0.5 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 | 47.2 | 52.4 | 40.3 | 141 (18.6) | 325 (42.8) | 12,586 | 83,107 | 54.4 | 88.7 | 41.7 | 39.2 | 46.6 | 69.6 | 42.7 | 69.7 | 78.9 | 2.1 | 542 (10.0) | 787 (14.5) |
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 | 40.0 | 40.5 | 32.2 | 7 | 10 | 360 | 3,452 | 46.0 | 89.1 | 33.3 | 31.4 | 39.8 | 57.7 | 33.9 | 65.6 | 75.9 | 0.8 | 26 | 34 |
| MOT16-03 | 54.5 | 55.7 | 42.6 | 42 | 24 | 8,252 | 39,033 | 62.7 | 88.8 | 41.0 | 44.5 | 45.9 | 69.5 | 49.1 | 69.6 | 78.9 | 5.5 | 254 | 396 |
| MOT16-06 | 48.6 | 58.8 | 43.8 | 43 | 112 | 524 | 5,361 | 53.5 | 92.2 | 50.0 | 38.7 | 57.7 | 68.8 | 41.3 | 71.1 | 78.2 | 0.4 | 49 | 78 |
| MOT16-07 | 42.7 | 49.8 | 37.1 | 7 | 18 | 596 | 8,684 | 46.8 | 92.8 | 40.0 | 34.5 | 42.8 | 71.7 | 36.3 | 71.9 | 77.9 | 1.2 | 66 | 115 |
| MOT16-08 | 33.0 | 43.9 | 36.6 | 15 | 23 | 1,635 | 9,490 | 43.3 | 81.6 | 41.2 | 32.7 | 47.9 | 67.5 | 36.2 | 68.3 | 81.1 | 2.6 | 90 | 77 |
| MOT16-12 | 43.1 | 56.3 | 42.9 | 17 | 36 | 718 | 3,974 | 52.1 | 85.8 | 48.8 | 37.8 | 52.7 | 71.5 | 41.8 | 68.8 | 80.1 | 0.8 | 26 | 35 |
| MOT16-14 | 26.2 | 38.4 | 29.4 | 10 | 102 | 501 | 13,113 | 29.1 | 91.5 | 39.4 | 22.0 | 42.1 | 72.6 | 22.8 | 71.9 | 78.8 | 0.7 | 31 | 52 |
Raw data: