Enhancing Association Graph with Super-voxel for Multi-target 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:

EAGS

Benchmark:

Description:

n/a

Hardware:

3 GHZ, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

July 11, 2017 (5 months ago)

Published:

March 29, 2017 at 16:12:20 CET

Submissions:

3

Open source:

No

Project page / code:

n/a

Reference:

#PR-D-17-01373# Enhancing Association Graph with Super-voxel for Multi-target Tracking

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
34.271.51.516.4 % 45.6 % 8,73531,3043728653 GHZ, 1 CorePublic
IDF1ID PrecisionID Recall
47.561.438.8

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing74.280.174.60.11353.8 % 23.1 % 2225849
PETS09-S2L254.451.270.71.54226.2 % 14.3 % 6633,65283143
ETH-Jelmoli37.157.673.20.94520.0 % 37.8 % 4131,1681542
ETH-Linthescher22.533.475.70.21974.6 % 73.6 % 2206,6841837
ETH-Crossing27.746.074.40.22611.5 % 57.7 % 4168313
AVG-TownCentre33.150.370.41.322620.4 % 46.0 % 6004,12950168
ADL-Rundle-117.345.671.86.63234.4 % 25.0 % 3,3084,33654101
ADL-Rundle-339.343.072.72.14420.5 % 25.0 % 1,3304,7637796
KITTI-1638.457.773.31.3175.9 % 11.8 % 2637711435
KITTI-1933.354.865.91.26212.9 % 19.4 % 1,2212,29843194
Venice-129.244.772.21.51723.5 % 35.3 % 6542,5621337

Raw data:

n/a


HAF
EAGS
MPM