Regressive Motion Model

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

Short name:

RMM

Benchmark:

Description:

n/a

Hardware:

2.6 GHZ, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

October 27, 2017 (1 month ago)

Published:

August 26, 2017 at 17:15:30 CET

Submissions:

4

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
26.671.01.25.1 % 44.8 % 6,70837,2811,0881,9572.6 GHZ, 1 CorePublic
IDF1ID PrecisionID Recall
31.246.723.4

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing54.453.572.80.11315.4 % 15.4 % 234473347
PETS09-S2L238.426.269.51.6427.1 % 16.7 % 6865,026231435
ETH-Jelmoli35.444.772.90.7456.7 % 31.1 % 3021,28749100
ETH-Linthescher21.127.274.60.11974.1 % 72.1 % 1176,8617299
ETH-Crossing23.328.274.90.1260.0 % 61.5 % 187411011
AVG-TownCentre22.033.169.21.62264.9 % 42.0 % 7394,602232301
ADL-Rundle-114.932.572.04.83212.5 % 34.4 % 2,4005,43586206
ADL-Rundle-334.233.372.01.2446.8 % 25.0 % 7215,853114205
KITTI-1634.937.671.70.9170.0 % 11.8 % 1818745386
KITTI-1922.030.066.20.9624.8 % 27.4 % 9033,112150354
Venice-118.523.672.01.4170.0 % 35.3 % 6183,04358113

Raw data:

n/a


GFM
RMM