Benchmark:
MOT16 |
Short name:
HISP_T
Detector:
Public
Description:
n/a
Reference:
N. Baisa. Online Multi-target Visual Tracking using a HISP Filter. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,, 2018.
Last submitted:
December 23, 2017 (6 years ago)
Published:
October 23, 2017 at 13:19:57 CET
Submissions:
4
Project page / code:
n/a
Open source:
No
Hardware:
2.30 GHz, 1 Core
Runtime:
4.8 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 | 35.9 | 28.9 | 24.9 | 59 (7.8) | 380 (50.1) | 6,412 | 107,918 | 40.8 | 92.1 | 20.5 | 30.5 | 21.2 | 77.0 | 32.1 | 72.4 | 79.3 | 1.1 | 2,594 (63.6) | 2,298 (56.3) |
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 | 23.1 | 0.0 | 20.9 | 2 | 13 | 121 | 4,742 | 25.8 | 93.2 | 23.3 | 18.9 | 24.0 | 76.5 | 19.5 | 70.2 | 77.3 | 0.3 | 52 | 68 |
MOT16-03 | 43.5 | 0.0 | 26.1 | 17 | 38 | 2,458 | 55,427 | 47.0 | 95.2 | 19.5 | 35.2 | 20.0 | 78.4 | 36.8 | 74.6 | 79.6 | 1.6 | 1,189 | 1,237 |
MOT16-06 | 38.1 | 0.0 | 31.7 | 16 | 112 | 503 | 6,396 | 44.6 | 91.1 | 31.9 | 32.0 | 34.3 | 71.6 | 34.0 | 69.5 | 77.6 | 0.4 | 245 | 196 |
MOT16-07 | 28.3 | 0.0 | 22.1 | 4 | 25 | 975 | 10,340 | 36.6 | 86.0 | 18.7 | 26.8 | 19.3 | 71.8 | 28.6 | 67.2 | 77.5 | 2.0 | 385 | 314 |
MOT16-08 | 23.2 | 0.0 | 21.3 | 6 | 29 | 1,230 | 11,335 | 32.3 | 81.4 | 18.1 | 25.3 | 18.9 | 77.8 | 27.2 | 68.8 | 81.0 | 2.0 | 284 | 168 |
MOT16-12 | 31.1 | 0.0 | 27.3 | 9 | 44 | 777 | 4,714 | 43.2 | 82.2 | 24.1 | 31.3 | 25.0 | 76.8 | 34.7 | 66.0 | 80.0 | 0.9 | 222 | 106 |
MOT16-14 | 16.1 | 0.0 | 16.4 | 5 | 119 | 342 | 14,951 | 19.1 | 91.2 | 18.9 | 14.4 | 20.4 | 69.8 | 14.8 | 70.6 | 78.4 | 0.5 | 215 | 210 |
Raw data: