OVBT17: Tracking Multiple Persons Based on a Variational Bayesian Model
MOT20-07
Short name:
OVBT17
Detector:
Public
Description:
Reference:
Y. Ban, S. Ba, X. Alameda-Pineda, R. Horaud. Tracking multiple persons based on a variational bayesian model. In European Conference on Computer Vision Workshops, 2016.
Last submitted:
August 01, 2022 (2 years ago)
Published:
August 01, 2022 at 16:04:16 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
Intel® Core™ i9-9820X CPU @ 3.30GHz × 20
Runtime:
0.1 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT20 | 40.0 | 37.8 | 30.5 | 141 (11.4) | 374 (30.1) | 23,368 | 282,949 | 45.3 | 90.9 | 27.4 | 34.4 | 31.0 | 60.6 | 36.7 | 73.7 | 81.1 | 5.2 | 4,210 (0.0) | 10,026 (0.0) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT20-04 | 55.6 | 44.9 | 36.0 | 104 | 104 | 3,069 | 116,038 | 57.7 | 98.1 | 28.7 | 45.6 | 33.1 | 59.3 | 47.5 | 80.7 | 83.1 | 1.5 | 2,498 | 5,885 |
| MOT20-06 | 22.6 | 27.3 | 21.8 | 16 | 131 | 10,012 | 91,789 | 30.9 | 80.4 | 21.6 | 22.2 | 23.4 | 58.7 | 24.0 | 62.6 | 76.6 | 9.9 | 1,000 | 2,343 |
| MOT20-07 | 44.7 | 45.9 | 34.9 | 16 | 30 | 865 | 17,241 | 47.9 | 94.8 | 34.1 | 36.3 | 36.1 | 75.5 | 38.3 | 75.7 | 81.3 | 1.5 | 203 | 471 |
| MOT20-08 | 12.5 | 23.2 | 18.7 | 5 | 109 | 9,422 | 57,881 | 25.3 | 67.5 | 20.1 | 17.8 | 21.7 | 57.6 | 19.9 | 53.0 | 74.5 | 11.7 | 509 | 1,327 |
Raw data:
