MAF_HDA: Multi-Object Tracking and Segmentation with Embedding Mask-based Affinity Fusion in Hierarchical Data Association


Video not available.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

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)

Last submitted:

December 01, 2021 (2 years ago)

Published:

December 05, 2021 at 22:26:13 CET

Submissions:

4

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
MOTS69.967.083.884.185.1245 (74.7)12 (3.7)28,3118633,95887.797.0401 (457.1)598 (681.6)

Detailed performance:

Sequence sMOTSA IDF1 MOTSA MOTSP MODSA MT ML TP FP FN Rcll Prcn ID Sw. Frag
MOTS20-0169.974.285.282.585.4802,7196538787.597.7744
MOTS20-0674.666.688.285.490.715359,12421969093.097.7248299
MOTS20-0765.361.680.781.881.536410,8743742,00484.496.7113189
MOTS20-1271.975.082.887.483.34835,59420587786.496.53366

Raw data: