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:

2.8 GHZ, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

September 10, 2017 (1 month ago)

Published:

August 26, 2017 at 17:15:30 CET

Submissions:

3

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
20.571.51.03.3 % 47.4 % 5,78441,1081,9392,3362.8 GHZ, 1 CorePublic
IDF1ID PrecisionID Recall
20.634.514.7

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing47.343.773.20.11323.1 % 15.4 % 245193855
PETS09-S2L225.316.570.01.2420.0 % 33.3 % 5156,208478555
ETH-Jelmoli32.240.073.70.5456.7 % 35.6 % 2091,43577112
ETH-Linthescher16.220.574.20.21972.5 % 72.1 % 2127,124146164
ETH-Crossing21.127.175.10.1260.0 % 57.7 % 187611214
AVG-TownCentre19.025.169.40.92262.2 % 44.2 % 4065,102282328
ADL-Rundle-110.112.272.73.7329.4 % 43.8 % 1,8526,231286283
ADL-Rundle-329.020.672.61.3444.5 % 25.0 % 8316,208182194
KITTI-1624.123.873.40.6170.0 % 17.6 % 1341,055102103
KITTI-1917.627.966.40.8624.8 % 29.0 % 8763,307220362
Venice-112.812.071.81.6170.0 % 41.2 % 7073,158116166

Raw data:

n/a


GFM
RMM