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


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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 (3 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: