SCEA: Structural Constraint Event Aggregation
ADL-Rundle-1
Benchmark:
MOT15 |
Short name:
SCEA
Detector:
Public
Description:
n/a
Reference:
J. Yoon, C. Lee, M. Yang, K. Yoon. Online Multi-object Tracking via Structural Constraint Event Aggregation. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Last submitted:
November 10, 2015 (9 years ago)
Published:
November 10, 2015 at 12:57:50 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
4.0 GHZ, 1 Core
Runtime:
6.8 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT15 | 29.1 | 37.2 | 28.4 | 64 (8.9) | 341 (47.3) | 6,060 | 36,912 | 39.9 | 80.2 | 29.5 | 27.7 | 31.9 | 70.2 | 30.5 | 61.2 | 75.1 | 1.0 | 604 (15.1) | 1,182 (29.6) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| ADL-Rundle-1 | 21.9 | 34.2 | 28.1 | 3 | 17 | 980 | 6,228 | 33.1 | 75.9 | 33.9 | 23.7 | 36.8 | 75.4 | 26.2 | 60.1 | 76.9 | 2.0 | 57 | 86 |
| ADL-Rundle-3 | 33.0 | 38.0 | 29.5 | 4 | 12 | 1,269 | 5,454 | 46.4 | 78.8 | 27.6 | 31.9 | 29.0 | 70.9 | 35.9 | 61.0 | 76.2 | 2.0 | 87 | 106 |
| AVG-TownCentre | 29.3 | 45.2 | 32.9 | 34 | 97 | 738 | 4,226 | 40.9 | 79.8 | 39.2 | 27.9 | 43.1 | 68.1 | 30.7 | 60.0 | 74.4 | 1.6 | 88 | 233 |
| ETH-Crossing | 22.3 | 28.1 | 21.9 | 2 | 16 | 13 | 757 | 24.5 | 95.0 | 26.3 | 18.3 | 27.0 | 78.4 | 18.7 | 72.5 | 77.9 | 0.1 | 9 | 11 |
| ETH-Jelmoli | 40.4 | 52.5 | 36.7 | 7 | 15 | 312 | 1,179 | 53.5 | 81.3 | 37.6 | 36.1 | 41.8 | 69.3 | 40.9 | 62.2 | 76.4 | 0.7 | 22 | 50 |
| ETH-Linthescher | 18.5 | 25.5 | 21.0 | 3 | 151 | 80 | 7,168 | 19.7 | 95.7 | 30.1 | 14.8 | 31.6 | 76.6 | 15.1 | 73.1 | 78.0 | 0.1 | 33 | 41 |
| KITTI-16 | 40.1 | 55.4 | 35.1 | 0 | 3 | 146 | 853 | 49.9 | 85.3 | 36.6 | 33.7 | 39.1 | 67.1 | 37.2 | 63.7 | 75.7 | 0.7 | 20 | 48 |
| KITTI-19 | 19.4 | 41.2 | 30.2 | 4 | 14 | 1,227 | 3,023 | 43.4 | 65.4 | 32.0 | 29.2 | 35.3 | 62.3 | 33.9 | 51.1 | 70.5 | 1.2 | 55 | 216 |
| PETS09-S2L2 | 44.6 | 33.3 | 24.8 | 3 | 6 | 536 | 4,633 | 51.9 | 90.3 | 17.2 | 36.0 | 18.2 | 64.9 | 38.2 | 66.4 | 74.0 | 1.2 | 175 | 289 |
| TUD-Crossing | 57.0 | 54.9 | 36.9 | 3 | 3 | 15 | 442 | 59.9 | 97.8 | 31.9 | 42.7 | 38.2 | 61.2 | 44.8 | 73.2 | 78.0 | 0.1 | 17 | 30 |
| Venice-1 | 18.2 | 30.3 | 24.3 | 1 | 7 | 744 | 2,949 | 35.4 | 68.4 | 25.1 | 23.8 | 26.3 | 74.9 | 27.6 | 53.4 | 75.7 | 1.7 | 41 | 72 |
Raw data:
