RNN tracker with appearance model

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

Short name:

RNN_A

Benchmark:

Description:

n/a

Hardware:

Intel(R) Xeon(R) CPU E5-1603 v4@ 2.80GHz 2.80 GHz

Detector:

Private

Processing:

Online

Last submitted:

March 22, 2019 (8 months ago)

Published:

March 22, 2019 at 09:09:19 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
56.978.24.940.6 % 11.5 % 28,90547,7891,8192,943Intel(R) Xeon(R) CPU E5-1603 v4@ 2.80GHz 2.80 GHzPrivate
IDF1ID PrecisionID Recall
56.359.553.4

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0118.746.077.07.52352.2 % 0.0 % 3,3801,716105117
MOT16-0370.965.078.75.914858.1 % 9.5 % 8,78321,2364351,038
MOT16-0658.644.380.21.522147.5 % 12.2 % 1,7422,858178250
MOT16-0750.450.277.96.15440.7 % 1.9 % 3,0674,839191311
MOT16-0829.737.577.46.26322.2 % 12.7 % 3,8547,570343433
MOT16-1231.849.778.52.78623.3 % 18.6 % 2,3863,18781148
MOT16-1432.043.574.97.616429.9 % 12.8 % 5,6936,383486646

Raw data:

n/a


RNN_A