Benchmark:
MOT16 |
Short name:
JCmin_MOT
Detector:
Public
Description:
n/a
Reference:
M. Abhijeet Boragule. Joint Cost Minimization for Multi-Object Tracking. In 2017 IEEE International Conference on Advanced Vide and Signale Based Surveillance, 2017.
Last submitted:
January 19, 2017 (7 years ago)
Published:
March 29, 2018 at 10:08:48 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
3.3 GHz 1 core.
Runtime:
14.8 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 | 36.7 | 36.2 | 28.6 | 57 (7.5) | 413 (54.4) | 2,936 | 111,890 | 38.6 | 96.0 | 28.5 | 29.0 | 29.7 | 77.0 | 30.0 | 74.7 | 79.3 | 0.5 | 667 (17.3) | 831 (21.5) |
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 | 24.4 | 28.5 | 23.3 | 2 | 14 | 21 | 4,790 | 25.1 | 98.7 | 29.6 | 18.5 | 32.9 | 68.4 | 18.8 | 73.9 | 77.8 | 0.0 | 22 | 26 |
| MOT16-03 | 42.3 | 36.4 | 28.6 | 11 | 43 | 2,185 | 57,718 | 44.8 | 95.5 | 24.8 | 33.3 | 25.8 | 76.9 | 34.7 | 74.1 | 79.1 | 1.5 | 395 | 481 |
| MOT16-06 | 41.0 | 49.7 | 37.3 | 22 | 124 | 89 | 6,667 | 42.2 | 98.2 | 45.7 | 30.9 | 48.0 | 77.7 | 31.9 | 74.2 | 78.0 | 0.1 | 49 | 74 |
| MOT16-07 | 32.3 | 37.1 | 28.5 | 4 | 28 | 208 | 10,789 | 33.9 | 96.4 | 32.1 | 25.5 | 33.3 | 76.5 | 26.2 | 74.5 | 78.7 | 0.4 | 55 | 76 |
| MOT16-08 | 28.2 | 31.9 | 26.5 | 5 | 33 | 187 | 11,750 | 29.8 | 96.4 | 29.0 | 24.2 | 30.6 | 79.1 | 24.8 | 80.2 | 83.0 | 0.3 | 70 | 84 |
| MOT16-12 | 40.1 | 53.0 | 39.8 | 9 | 46 | 146 | 4,799 | 42.1 | 96.0 | 49.1 | 32.3 | 51.2 | 76.8 | 33.5 | 76.3 | 80.9 | 0.2 | 22 | 24 |
| MOT16-14 | 16.0 | 20.8 | 17.1 | 4 | 125 | 100 | 15,377 | 16.8 | 96.9 | 23.2 | 12.6 | 24.5 | 74.1 | 12.8 | 73.8 | 78.2 | 0.1 | 54 | 66 |
Raw data: