Joint Multicut Model

MOT16-01 MOT16-03 MOT16-06 MOT16-07 MOT16-08 MOT16-12 MOT16-14

Short name:

MCjoint

Benchmark:

Description:

n/a

Hardware:

2.4 GHZ, 1Core

Detector:

Public

Processing:

Batch

Last submitted:

October 28, 2016 (2 years ago)

Published:

June 30, 2017 at 22:21:09 CET

Submissions:

3

Open source:

No

Project page / code:

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} }

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
47.176.31.120.4 % 46.9 % 6,70389,3683705982.4 GHZ, 1CorePublic
IDF1ID PrecisionID Recall
52.373.940.4

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0134.032.872.10.32317.4 % 43.5 % 1574,0382340
MOT16-0357.259.276.11.814830.4 % 22.3 % 2,76841,883121257
MOT16-0646.954.874.90.622122.2 % 49.3 % 7465,3185786
MOT16-0727.935.876.60.7547.4 % 61.1 % 37311,3632932
MOT16-0835.238.280.41.16320.6 % 34.9 % 71610,0527079
MOT16-1240.954.378.30.88624.4 % 51.2 % 7074,1781517
MOT16-1425.237.174.81.616411.6 % 64.0 % 1,23612,5365587

Raw data:


MCjoint
LMP