SLTV15:
ETH-Linthescher
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Benchmark:
MOT15 |
Short name:
SLTV15
Detector:
Public
Description:
n/a
Reference:
Gwangju Institute of Science and Technology(GIST), Machine Learning and Vision Laboratory
Last submitted:
July 08, 2018 (6 years ago)
Published:
July 08, 2018 at 14:49:06 CET
Submissions:
4
Project page / code:
n/a
Open source:
No
Hardware:
3.7 GHZ, 1 Core, TITAN X
Runtime:
20.9 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT15 | 27.6 | 40.3 | 29.3 | 52 (7.2) | 374 (51.9) | 6,581 | 37,566 | 38.9 | 78.4 | 32.6 | 26.7 | 35.9 | 67.7 | 29.7 | 59.8 | 75.4 | 1.1 | 358 (9.2) | 884 (22.7) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| ADL-Rundle-1 | 17.9 | 38.8 | 29.6 | 5 | 13 | 1,919 | 5,699 | 38.8 | 65.3 | 36.0 | 24.7 | 39.1 | 71.1 | 29.9 | 50.4 | 76.3 | 3.8 | 26 | 77 |
| ADL-Rundle-3 | 35.5 | 39.4 | 28.1 | 3 | 15 | 429 | 6,086 | 40.1 | 90.5 | 27.4 | 28.9 | 29.0 | 72.5 | 30.5 | 68.7 | 77.2 | 0.7 | 39 | 54 |
| AVG-TownCentre | 13.4 | 35.0 | 25.6 | 7 | 127 | 1,003 | 5,105 | 28.6 | 67.1 | 33.4 | 19.8 | 36.6 | 66.6 | 22.3 | 52.4 | 73.8 | 2.2 | 79 | 168 |
| ETH-Crossing | 28.3 | 46.2 | 31.0 | 2 | 18 | 26 | 693 | 30.9 | 92.3 | 41.8 | 23.0 | 45.2 | 74.6 | 23.9 | 71.3 | 78.2 | 0.1 | 0 | 1 |
| ETH-Jelmoli | 41.4 | 54.9 | 37.3 | 9 | 15 | 234 | 1,241 | 51.1 | 84.7 | 39.1 | 35.6 | 45.4 | 64.3 | 39.4 | 65.4 | 77.5 | 0.5 | 12 | 32 |
| ETH-Linthescher | 19.4 | 30.1 | 24.8 | 9 | 152 | 158 | 7,024 | 21.3 | 92.3 | 38.2 | 16.1 | 41.5 | 73.7 | 16.5 | 71.5 | 77.5 | 0.1 | 13 | 38 |
| KITTI-16 | 40.2 | 56.4 | 34.8 | 0 | 4 | 92 | 908 | 46.6 | 89.6 | 37.1 | 32.6 | 40.3 | 66.7 | 35.1 | 67.5 | 76.9 | 0.4 | 18 | 35 |
| KITTI-19 | 21.7 | 46.2 | 32.5 | 6 | 17 | 1,256 | 2,896 | 45.8 | 66.1 | 35.9 | 29.9 | 41.4 | 61.5 | 35.5 | 51.2 | 71.8 | 1.2 | 34 | 186 |
| PETS09-S2L2 | 43.3 | 40.4 | 28.3 | 5 | 4 | 726 | 4,627 | 52.0 | 87.4 | 22.4 | 35.9 | 25.2 | 58.7 | 38.6 | 64.8 | 73.8 | 1.7 | 117 | 225 |
| TUD-Crossing | 63.9 | 72.3 | 49.8 | 5 | 3 | 29 | 366 | 66.8 | 96.2 | 52.6 | 47.1 | 55.3 | 74.3 | 50.3 | 72.5 | 78.4 | 0.1 | 3 | 15 |
| Venice-1 | 20.1 | 37.1 | 27.6 | 1 | 6 | 709 | 2,921 | 36.0 | 69.8 | 32.1 | 23.8 | 34.9 | 67.9 | 27.7 | 53.8 | 76.3 | 1.6 | 17 | 53 |
Raw data:
