Ensemble Feature on Markov Chain for Multi Object Tracking

TUD-Crossing PETS09-S2L2 ETH-Jelmoli ETH-Linthescher ETH-Crossing AVG-TownCentre ADL-Rundle-1 ADL-Rundle-3 KITTI-16 KITTI-19

Short name:

EFMC

Benchmark:

Description:

n/a

Hardware:

Intel(R) Core(TM) i-5-6400 CPU @ 2.70GHz 2.71 GHz

Detector:

Public

Processing:

Online

Last submitted:

August 15, 2018 (4 months ago)

Published:

August 15, 2018 at 14:56:47 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
14.971.41.03.3 % 50.5 % 5,58341,0855,6233,443Intel(R) Core(TM) i-5-6400 CPU @ 2.70GHz 2.71 GHzPublic
IDF1ID PrecisionID Recall
11.519.38.2

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing38.821.073.00.01315.4 % 15.4 % 655910978
PETS09-S2L223.98.670.01.2422.4 % 23.8 % 5265,4451,361735
ETH-Jelmoli21.419.274.00.4454.4 % 37.8 % 1721,563258178
ETH-Linthescher7.37.574.30.11971.0 % 83.8 % 747,885317266
ETH-Crossing14.814.974.80.1260.0 % 61.5 % 227696441
AVG-TownCentre7.311.269.40.82263.1 % 45.1 % 3585,0391,232627
ADL-Rundle-16.711.172.14.93215.6 % 31.3 % 2,4575,575648469
ADL-Rundle-326.913.672.91.0444.5 % 29.5 % 6216,235571269
KITTI-1614.610.874.20.6170.0 % 17.6 % 1201,082251153
KITTI-1910.114.466.40.8624.8 % 29.0 % 8033,409592453
Venice-18.79.573.10.9170.0 % 47.1 % 4243,524220174

Raw data:

n/a


EFMC