Multiple Object Tracking using Resizing KCF


Short name:

RKCF

Benchmark:

Description:

Hardware:

Intel(R) Core(TM) i5-3337U CPU @ 1.80GHz

Detector:

Public

Processing:

Online

Last submitted:

August 04, 2019 (4 months ago)

Published:

July 05, 2019 at 12:45:07 CET

Submissions:

2

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
16.870.51.85.5 % 50.1 % 10,33639,8059801,750Intel(R) Core(TM) i5-3337U CPU @ 1.80GHzPublic
IDF1ID PrecisionID Recall
29.042.422.1

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing46.646.572.31.01330.8 % 15.4 % 1933663048
PETS09-S2L227.126.669.03.1424.8 % 19.0 % 1,3605,405259446
ETH-Jelmoli21.738.871.81.64517.8 % 26.7 % 7041,21766111
ETH-Linthescher12.926.071.50.91974.1 % 66.5 % 1,1316,56583162
ETH-Crossing14.436.371.90.9263.8 % 53.8 % 1916561223
AVG-TownCentre-1.821.467.43.32261.8 % 58.4 % 1,5015,587191332
ADL-Rundle-15.123.171.95.23218.8 % 43.8 % 2,5866,129113163
ADL-Rundle-330.137.372.31.7449.1 % 31.8 % 1,0415,9818099
KITTI-1632.738.071.80.9175.9 % 29.4 % 1899203661
KITTI-1915.334.565.91.0623.2 % 30.6 % 1,1023,34084260
Venice-112.321.272.20.8170.0 % 58.8 % 3383,6392645

Raw data:

n/a


RKCF