Benchmark:
MOT16 |
Short name:
STAM16
Detector:
Public
Description:
n/a
Reference:
Q. Chu, W. Ouyang, H. Li, X. Wang, B. Liu, N. Yu. Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism. In 2017 IEEE International Conference on Computer Vision (ICCV), 2017.
Last submitted:
August 04, 2017 (7 years ago)
Published:
August 13, 2017 at 15:26:38 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
2.4 GHZ, 1 Core, TITAN X
Runtime:
0.2 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 | 46.0 | 50.0 | 37.9 | 111 (14.6) | 331 (43.6) | 6,895 | 91,117 | 50.0 | 93.0 | 39.3 | 36.7 | 41.5 | 75.6 | 38.9 | 72.3 | 78.6 | 1.2 | 473 (9.5) | 1,422 (28.4) |
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 | 35.7 | 40.4 | 31.1 | 5 | 9 | 159 | 3,921 | 38.7 | 94.0 | 34.6 | 28.1 | 37.7 | 66.1 | 29.2 | 70.8 | 76.5 | 0.4 | 30 | 81 |
| MOT16-03 | 53.8 | 53.6 | 40.7 | 36 | 26 | 5,028 | 43,018 | 58.9 | 92.4 | 39.1 | 42.7 | 41.4 | 75.1 | 45.7 | 71.8 | 78.5 | 3.4 | 210 | 740 |
| MOT16-06 | 48.4 | 59.0 | 42.9 | 35 | 111 | 147 | 5,765 | 50.0 | 97.5 | 50.9 | 36.4 | 54.1 | 75.6 | 37.8 | 73.7 | 77.8 | 0.1 | 39 | 131 |
| MOT16-07 | 38.0 | 45.4 | 32.9 | 5 | 18 | 549 | 9,495 | 41.8 | 92.6 | 35.3 | 30.9 | 36.8 | 75.8 | 32.4 | 71.6 | 77.8 | 1.1 | 78 | 194 |
| MOT16-08 | 32.3 | 36.8 | 30.6 | 9 | 25 | 407 | 10,858 | 35.1 | 93.5 | 34.2 | 27.4 | 35.5 | 79.3 | 28.5 | 76.1 | 81.6 | 0.7 | 65 | 111 |
| MOT16-12 | 42.3 | 54.0 | 40.9 | 14 | 42 | 354 | 4,410 | 46.8 | 91.6 | 48.2 | 34.8 | 50.9 | 77.0 | 37.1 | 72.5 | 80.1 | 0.4 | 23 | 37 |
| MOT16-14 | 24.6 | 36.5 | 26.0 | 7 | 100 | 251 | 13,650 | 26.1 | 95.1 | 34.6 | 19.6 | 36.0 | 76.3 | 20.2 | 73.3 | 78.3 | 0.3 | 28 | 128 |
Raw data: