RNN tracker with appearance model in public detection

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

Short name:

RNN_A_P

Benchmark:

Description:

n/a

Hardware:

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

Detector:

Public

Processing:

Online

Last submitted:

April 06, 2019 (7 months ago)

Published:

April 06, 2019 at 10:46:58 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
34.075.61.47.9 % 51.0 % 8,562109,2692,4793,393Intel(R) Xeon(R) CPU E5-1603 v4@ 2.80GHz 2.80 GHzPublic
IDF1ID PrecisionID Recall
33.754.524.4

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0122.529.872.80.3238.7 % 56.5 % 1454,76545105
MOT16-0339.333.775.63.514811.5 % 25.7 % 5,32456,0482,0832,226
MOT16-0640.236.673.90.32219.5 % 52.5 % 3996,44355210
MOT16-0729.740.474.11.7547.4 % 50.0 % 85710,54480339
MOT16-0824.931.379.41.6639.5 % 46.0 % 98311,474106171
MOT16-1235.848.077.00.7869.3 % 50.0 % 5864,7083183
MOT16-1415.421.074.50.41641.2 % 73.8 % 26815,28779259

Raw data:

n/a


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RNN_A_P