Benchmark:
MOTS |
Short name:
MAF_HDA
Description:
1st submission: GMPHD filter + KCF (done, Nov 4th, 2021)
2nd submission: GMPHD filter + SiameseRPN (to do, Nov 7th, 2021)
3rd submission: GMPHD filter + DaSiameseRPN (to do, Nov 10th, 2021)
Final submission: best among 1st~3rd submissions (to do, Nov 13th, 2021)
Reference:
Y. Song, Y. Yoon, K. Yoon, M. Jeon. Multi-Object Tracking and Segmentation with Embedding Mask-based Affinity Fusion in Hierarchical Data Association. In IEEE Access, 2022.
Last submitted:
December 01, 2021 (3 years ago)
Published:
December 05, 2021 at 22:26:13 CET
Submissions:
4
Project page / code:
Open source:
Yes
Hardware:
Intel i7-7700K @ 4.2GHz, 4 Cores
Runtime:
4.6 Hz
Benchmark performance:
Sequence | sMOTSA | IDF1 | MOTSA | MOTSP | MODSA | MT | ML | TP | FP | FN | Rcll | Prcn | ID Sw. | Frag |
MOTS | 69.9 | 67.0 | 83.8 | 84.1 | 85.1 | 245 (74.7) | 12 (3.7) | 28,311 | 863 | 3,958 | 87.7 | 97.0 | 401 (457.1) | 598 (681.6) |
Detailed performance:
Sequence | sMOTSA | IDF1 | MOTSA | MOTSP | MODSA | MT | ML | TP | FP | FN | Rcll | Prcn | ID Sw. | Frag |
MOTS20-01 | 69.9 | 74.2 | 85.2 | 82.5 | 85.4 | 8 | 0 | 2,719 | 65 | 387 | 87.5 | 97.7 | 7 | 44 |
MOTS20-06 | 74.6 | 66.6 | 88.2 | 85.4 | 90.7 | 153 | 5 | 9,124 | 219 | 690 | 93.0 | 97.7 | 248 | 299 |
MOTS20-07 | 65.3 | 61.6 | 80.7 | 81.8 | 81.5 | 36 | 4 | 10,874 | 374 | 2,004 | 84.4 | 96.7 | 113 | 189 |
MOTS20-12 | 71.9 | 75.0 | 82.8 | 87.4 | 83.3 | 48 | 3 | 5,594 | 205 | 877 | 86.4 | 96.5 | 33 | 66 |
Raw data: