OVBT17: Tracking Multiple Persons Based on a Variational Bayesian Model
MOT17-01-DPM
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:
July 08, 2022 (1 year ago)
Published:
July 08, 2022 at 17:26:08 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
Intel® Core™ i9-9820X CPU @ 3.30GHz × 20
Runtime:
1.7 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT17 | 40.2 | 43.6 | 34.6 | 151 (6.4) | 1,169 (49.6) | 27,497 | 305,179 | 45.9 | 90.4 | 34.9 | 34.7 | 36.9 | 75.3 | 36.9 | 72.7 | 80.1 | 1.5 | 4,763 (0.0) | 8,711 (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 |
| MOT17-01-DPM | 21.4 | 31.3 | 24.2 | 3 | 12 | 515 | 4,482 | 30.5 | 79.3 | 27.1 | 21.7 | 29.6 | 67.3 | 23.5 | 61.1 | 75.5 | 1.1 | 71 | 125 |
| MOT17-01-FRCNN | 25.9 | 38.6 | 33.8 | 3 | 9 | 1,228 | 3,528 | 45.3 | 70.4 | 36.9 | 31.4 | 39.6 | 77.3 | 37.4 | 58.2 | 79.3 | 2.7 | 22 | 66 |
| MOT17-01-SDP | 38.2 | 40.0 | 32.2 | 2 | 6 | 499 | 3,450 | 46.5 | 85.7 | 31.8 | 33.0 | 35.8 | 69.1 | 36.2 | 66.7 | 78.5 | 1.1 | 38 | 119 |
| MOT17-03-DPM | 33.5 | 36.4 | 28.2 | 9 | 34 | 12,933 | 54,311 | 48.1 | 79.6 | 23.6 | 34.2 | 24.5 | 73.5 | 38.6 | 63.8 | 78.2 | 8.6 | 2,323 | 2,785 |
| MOT17-03-FRCNN | 55.8 | 53.4 | 41.6 | 34 | 28 | 1,489 | 44,531 | 57.5 | 97.6 | 39.3 | 44.4 | 41.6 | 76.5 | 46.2 | 78.5 | 81.2 | 1.0 | 238 | 606 |
| MOT17-03-SDP | 67.4 | 60.8 | 47.5 | 44 | 17 | 829 | 33,000 | 68.5 | 98.9 | 42.9 | 52.9 | 45.2 | 76.0 | 55.1 | 79.5 | 81.5 | 0.6 | 315 | 2,027 |
| MOT17-06-DPM | 30.3 | 37.9 | 27.8 | 4 | 136 | 345 | 7,686 | 34.8 | 92.2 | 30.1 | 26.0 | 34.0 | 71.9 | 27.0 | 71.6 | 77.4 | 0.3 | 187 | 185 |
| MOT17-06-FRCNN | 34.8 | 46.0 | 35.0 | 6 | 127 | 332 | 7,292 | 38.1 | 93.1 | 40.6 | 30.3 | 43.7 | 76.5 | 31.6 | 77.1 | 82.0 | 0.3 | 58 | 125 |
| MOT17-06-SDP | 36.6 | 45.3 | 34.2 | 10 | 117 | 424 | 6,969 | 40.9 | 91.9 | 37.7 | 31.1 | 43.2 | 70.4 | 32.7 | 73.6 | 80.2 | 0.4 | 79 | 142 |
| MOT17-07-DPM | 25.8 | 28.0 | 20.8 | 1 | 28 | 1,073 | 11,070 | 34.5 | 84.4 | 17.0 | 26.0 | 17.4 | 75.3 | 27.5 | 67.3 | 76.0 | 2.1 | 389 | 422 |
| MOT17-07-FRCNN | 31.0 | 37.6 | 29.1 | 2 | 20 | 879 | 10,666 | 36.9 | 87.6 | 31.5 | 27.8 | 33.7 | 71.9 | 29.5 | 70.0 | 78.3 | 1.8 | 116 | 288 |
| MOT17-07-SDP | 39.3 | 43.2 | 32.4 | 4 | 22 | 494 | 9,677 | 42.7 | 93.6 | 32.8 | 32.2 | 34.6 | 73.6 | 33.8 | 74.0 | 79.9 | 1.0 | 89 | 237 |
| MOT17-08-DPM | 14.7 | 18.8 | 16.8 | 1 | 45 | 1,113 | 16,621 | 21.3 | 80.2 | 16.3 | 17.5 | 17.4 | 73.8 | 18.4 | 69.1 | 80.0 | 1.8 | 292 | 364 |
| MOT17-08-FRCNN | 18.5 | 25.7 | 23.6 | 1 | 47 | 568 | 16,595 | 21.4 | 88.9 | 32.2 | 17.4 | 33.8 | 79.5 | 18.0 | 74.7 | 83.2 | 0.9 | 53 | 73 |
| MOT17-08-SDP | 16.6 | 22.5 | 19.6 | 1 | 52 | 98 | 17,473 | 17.3 | 97.4 | 27.7 | 14.0 | 29.4 | 76.5 | 14.2 | 79.9 | 82.9 | 0.2 | 48 | 93 |
| MOT17-12-DPM | 27.0 | 34.9 | 27.7 | 3 | 50 | 658 | 5,551 | 36.0 | 82.6 | 28.5 | 27.3 | 29.5 | 79.4 | 29.5 | 67.7 | 79.3 | 0.7 | 122 | 162 |
| MOT17-12-FRCNN | 30.3 | 43.7 | 35.0 | 7 | 61 | 254 | 5,773 | 33.4 | 91.9 | 46.5 | 26.5 | 49.7 | 77.1 | 27.6 | 76.1 | 82.1 | 0.3 | 15 | 27 |
| MOT17-12-SDP | 26.9 | 41.6 | 34.2 | 6 | 67 | 183 | 6,141 | 29.1 | 93.2 | 49.8 | 23.5 | 52.6 | 79.3 | 24.3 | 77.8 | 83.7 | 0.2 | 8 | 12 |
| MOT17-14-DPM | 17.1 | 27.2 | 20.1 | 3 | 108 | 833 | 14,399 | 22.1 | 83.1 | 24.3 | 16.7 | 25.3 | 74.9 | 17.5 | 65.7 | 77.5 | 1.1 | 86 | 165 |
| MOT17-14-FRCNN | 18.2 | 32.5 | 25.0 | 4 | 90 | 1,832 | 13,172 | 28.7 | 74.4 | 30.2 | 21.2 | 32.8 | 67.5 | 23.0 | 59.6 | 75.0 | 2.4 | 121 | 390 |
| MOT17-14-SDP | 25.3 | 34.4 | 24.9 | 3 | 93 | 918 | 12,792 | 30.8 | 86.1 | 27.8 | 22.5 | 29.6 | 72.2 | 23.9 | 66.8 | 77.6 | 1.2 | 93 | 298 |
Raw data:
