Auto-regressive and weighted least square 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:

AR_WLS

Benchmark:

Description:

n/a

Hardware:

3.3 GHZ, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

April 11, 2017 (8 months ago)

Published:

April 01, 2017 at 08:34:18 CET

Submissions:

4

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
24.971.01.46.1 % 52.4 % 8,07137,5435511,2973.3 GHZ, 1 CorePublic
IDF1ID PrecisionID Recall
35.451.826.9

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing59.365.073.30.61346.2 % 15.4 % 1113261215
PETS09-S2L242.531.769.61.8429.5 % 16.7 % 7724,585190384
ETH-Jelmoli41.051.572.70.64517.8 % 33.3 % 2711,2042360
ETH-Linthescher12.419.174.10.01971.0 % 83.2 % 597,754721
ETH-Crossing26.641.875.60.1263.8 % 65.4 % 3270314
AVG-TownCentre20.535.169.70.82265.3 % 57.5 % 3615,27151154
ADL-Rundle-110.237.371.66.73215.6 % 25.0 % 3,3424,94867185
ADL-Rundle-332.536.472.61.8446.8 % 22.7 % 1,1315,6616983
KITTI-1637.546.872.50.9170.0 % 11.8 % 1928353677
KITTI-1921.640.966.11.1624.8 % 24.2 % 1,1372,98270255
Venice-113.230.172.41.5170.0 % 47.1 % 6633,2742559

Raw data:

n/a


MPM
AR_WLS