Benchmark:
MOT16 |
Short name:
MCjoint
Detector:
Public
Description:
n/a
Reference:
}@article{DBLP:journals/corr/KeuperTYABS16, author = {Margret Keuper and Siyu Tang and Zhongjie Yu and Bjoern Andres and Thomas Brox and Bernt Schiele}, title = {A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects}, journal = {CoRR}, volume = {abs/1607.06317}, year = {2016}, url = {http://arxiv.org/abs/1607.06317}, timestamp = {Wed, 07 Jun 2017 14:41:31 +0200}, biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/KeuperTYABS16}, bibsource = {dblp computer science bibliography, http://dblp.org} }
Last submitted:
October 28, 2016 (7 years ago)
Published:
June 30, 2017 at 22:21:09 CET
Submissions:
3
Project page / code:
n/a
Open source:
No
Hardware:
2.4 GHZ, 1Core
Runtime:
0.6 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 | 47.1 | 52.3 | 41.2 | 155 (20.4) | 356 (46.9) | 6,703 | 89,368 | 51.0 | 93.3 | 44.7 | 38.2 | 47.4 | 75.9 | 40.4 | 73.8 | 79.5 | 1.1 | 370 (7.3) | 598 (11.7) |
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 | 34.0 | 32.8 | 28.6 | 4 | 10 | 157 | 4,038 | 36.9 | 93.8 | 30.8 | 26.8 | 32.6 | 73.4 | 27.8 | 70.8 | 76.6 | 0.3 | 23 | 40 |
| MOT16-03 | 57.2 | 59.2 | 45.6 | 45 | 33 | 2,768 | 41,883 | 59.9 | 95.8 | 46.8 | 44.7 | 49.3 | 76.5 | 47.1 | 75.2 | 79.4 | 1.8 | 121 | 257 |
| MOT16-06 | 46.9 | 54.8 | 42.6 | 49 | 109 | 746 | 5,318 | 53.9 | 89.3 | 47.1 | 39.0 | 52.8 | 72.2 | 42.2 | 70.0 | 78.5 | 0.6 | 57 | 86 |
| MOT16-07 | 27.9 | 35.8 | 29.8 | 4 | 33 | 373 | 11,363 | 30.4 | 93.0 | 38.2 | 23.4 | 40.0 | 76.5 | 24.2 | 74.1 | 79.4 | 0.7 | 29 | 32 |
| MOT16-08 | 35.2 | 38.2 | 33.0 | 13 | 22 | 716 | 10,052 | 39.9 | 90.3 | 34.3 | 31.8 | 36.5 | 77.2 | 33.6 | 76.0 | 82.7 | 1.1 | 70 | 79 |
| MOT16-12 | 40.9 | 54.3 | 43.1 | 21 | 44 | 707 | 4,178 | 49.6 | 85.3 | 50.3 | 37.1 | 53.7 | 72.0 | 40.7 | 70.0 | 80.5 | 0.8 | 15 | 17 |
| MOT16-14 | 25.2 | 37.1 | 30.0 | 19 | 105 | 1,236 | 12,536 | 32.2 | 82.8 | 37.4 | 24.2 | 40.2 | 70.6 | 25.8 | 66.4 | 77.4 | 1.6 | 55 | 87 |
Raw data: