Benchmark:
MOT16 |
Short name:
HISP_DAL
Detector:
Public
Description:
n/a
Reference:
N. Baisa. Robust online multi-target visual tracking using a HISP filter with discriminative deep appearance learning. In Journal of Visual Communication and Image Representation, 2021.
Last submitted:
July 09, 2019 (5 years ago)
Published:
July 27, 2019 at 15:09:33 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
3 GHZ, 1 Core
Runtime:
3.3 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 | 37.4 | 30.5 | 25.7 | 58 (7.6) | 386 (50.9) | 3,222 | 108,865 | 40.3 | 95.8 | 21.9 | 30.4 | 22.7 | 78.7 | 31.6 | 75.1 | 79.6 | 0.5 | 2,101 (52.1) | 2,151 (53.4) |
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 | 24.1 | 25.4 | 21.0 | 2 | 13 | 57 | 4,748 | 25.8 | 96.7 | 23.3 | 19.0 | 24.1 | 76.3 | 19.4 | 72.9 | 77.5 | 0.1 | 51 | 68 |
| MOT16-03 | 44.2 | 32.0 | 27.1 | 17 | 41 | 1,190 | 56,211 | 46.2 | 97.6 | 21.2 | 34.9 | 21.8 | 80.1 | 36.2 | 76.4 | 79.8 | 0.8 | 925 | 1,150 |
| MOT16-06 | 40.1 | 42.8 | 32.6 | 16 | 115 | 299 | 6,408 | 44.5 | 94.5 | 33.2 | 32.3 | 35.3 | 74.9 | 33.8 | 71.9 | 77.7 | 0.3 | 209 | 183 |
| MOT16-07 | 32.1 | 27.4 | 22.7 | 4 | 26 | 417 | 10,381 | 36.4 | 93.4 | 19.3 | 27.2 | 19.9 | 73.9 | 28.2 | 72.4 | 78.1 | 0.8 | 279 | 278 |
| MOT16-08 | 27.5 | 23.9 | 21.7 | 5 | 29 | 481 | 11,385 | 32.0 | 91.8 | 18.6 | 25.4 | 19.6 | 78.4 | 26.4 | 75.8 | 82.0 | 0.8 | 267 | 172 |
| MOT16-12 | 34.2 | 33.7 | 28.1 | 9 | 44 | 487 | 4,773 | 42.5 | 87.9 | 25.2 | 31.6 | 26.3 | 76.4 | 34.0 | 70.3 | 80.2 | 0.5 | 200 | 104 |
| MOT16-14 | 16.6 | 21.1 | 17.2 | 5 | 118 | 291 | 14,959 | 19.1 | 92.4 | 20.7 | 14.4 | 21.6 | 74.9 | 14.8 | 71.7 | 78.6 | 0.4 | 170 | 196 |
Raw data: