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

Short name:

TSML_CDE

Benchmark:

Description:

Hardware:

3.3GHz, 4 Core

Detector:

Private

Processing:

Batch

Last submitted:

June 15, 2015 (4 years ago)

Published:

June 15, 2015 at 15:12:14 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

B. Wang, G. Wang, K. L. Chan, L. Wang. Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation. In arXiv:1511.06654, 2015.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
49.174.30.930.4 % 26.4 % 5,20425,4606371,0343.3GHz, 4 CorePrivate
IDF1ID PrecisionID Recall
52.164.943.5

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing75.784.375.80.11353.8 % 7.7 % 182391121
PETS09-S2L259.742.774.42.34231.0 % 4.8 % 9892,724173200
ETH-Jelmoli46.658.674.60.84526.7 % 28.9 % 3459852536
ETH-Linthescher53.356.774.80.219714.7 % 48.7 % 2243,8568990
ETH-Crossing56.759.378.60.02615.4 % 38.5 % 6418109
AVG-TownCentre66.159.672.91.022647.8 % 14.6 % 4581,805159198
ADL-Rundle-133.547.072.52.03212.5 % 40.6 % 9875,1634396
ADL-Rundle-347.755.979.30.54422.7 % 25.0 % 2954,9823849
KITTI-1640.763.368.61.61723.5 % 5.9 % 3366581569
KITTI-1941.847.371.51.46241.9 % 3.2 % 1,4761,56666249
Venice-131.139.972.90.21711.8 % 47.1 % 703,064817

Raw data:


TSML_CDE