Benchmark:
MOT16 |
Short name:
PV_16
Detector:
Public
Description:
n/a
Reference:
X. S. Li, Y. T. Liu, K. F. Wang. Multi-Target Tracking with Trajectory Prediction and Re-Identification//2019 Chinese Automation Congress. IEEE.
Last submitted:
February 25, 2019 (5 years ago)
Published:
May 15, 2020 at 17:18:33 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
Intel Core i7 CPU 3.20GHz and 8GB RAM
Runtime:
7.3 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 | 50.4 | 50.8 | 39.4 | 113 (14.9) | 295 (38.9) | 2,600 | 86,780 | 52.4 | 97.4 | 39.1 | 40.0 | 43.0 | 68.1 | 41.6 | 77.3 | 80.6 | 0.4 | 1,061 (20.2) | 3,181 (60.7) |
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 | 39.9 | 45.5 | 35.3 | 5 | 7 | 119 | 3,686 | 42.4 | 95.8 | 39.7 | 31.5 | 44.0 | 68.9 | 32.8 | 74.2 | 79.2 | 0.3 | 40 | 119 |
| MOT16-03 | 59.9 | 55.9 | 43.3 | 35 | 22 | 1,071 | 40,398 | 61.4 | 98.4 | 39.7 | 47.3 | 43.1 | 68.7 | 49.2 | 78.9 | 81.3 | 0.7 | 440 | 1,551 |
| MOT16-06 | 48.7 | 50.7 | 39.4 | 33 | 94 | 139 | 5,671 | 50.8 | 97.7 | 39.5 | 39.5 | 50.9 | 62.2 | 40.9 | 78.6 | 81.4 | 0.1 | 107 | 275 |
| MOT16-07 | 41.9 | 42.1 | 32.6 | 7 | 18 | 293 | 9,031 | 44.7 | 96.1 | 33.0 | 32.7 | 36.4 | 62.3 | 34.1 | 73.4 | 78.0 | 0.6 | 166 | 470 |
| MOT16-08 | 35.9 | 39.3 | 34.2 | 10 | 21 | 388 | 10,218 | 38.9 | 94.4 | 39.6 | 29.9 | 43.8 | 68.9 | 31.1 | 75.5 | 80.7 | 0.6 | 117 | 209 |
| MOT16-12 | 45.5 | 55.9 | 42.7 | 18 | 38 | 137 | 4,338 | 47.7 | 96.7 | 50.2 | 36.4 | 53.3 | 76.0 | 37.9 | 76.9 | 80.9 | 0.2 | 48 | 102 |
| MOT16-14 | 24.1 | 34.3 | 23.2 | 5 | 95 | 453 | 13,438 | 27.3 | 91.8 | 28.2 | 19.3 | 30.4 | 64.0 | 20.0 | 67.1 | 74.8 | 0.6 | 143 | 455 |
Raw data: