Adaptive Tobit Kalman-based 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:

AdTobKF

Benchmark:

Description:

n/a

Hardware:

Detector:

Public

Processing:

Online

Last submitted:

November 20, 2017 (5 months ago)

Published:

November 15, 2017 at 09:12:58 CET

Submissions:

3

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
24.870.81.14.0 % 52.0 % 6,20139,3216661,300Public
IDF1ID PrecisionID Recall
34.554.725.2

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing53.056.572.80.11315.4 % 23.1 % 234821326
PETS09-S2L238.231.369.01.9427.1 % 16.7 % 8474,892221348
ETH-Jelmoli35.948.073.00.44513.3 % 40.0 % 1611,4293656
ETH-Linthescher10.416.173.80.11970.5 % 85.8 % 657,9023455
ETH-Crossing16.121.674.40.0260.0 % 69.2 % 782788
AVG-TownCentre22.136.568.71.32263.5 % 46.0 % 5744,888106231
ADL-Rundle-118.738.471.84.53212.5 % 28.1 % 2,2265,28460138
ADL-Rundle-330.638.572.81.3444.5 % 34.1 % 8166,17760112
KITTI-1639.252.071.50.7175.9 % 17.6 % 1458692152
KITTI-1922.937.366.50.8623.2 % 32.3 % 8493,19281213
Venice-114.726.372.41.1170.0 % 52.9 % 4883,3792661

Raw data:

n/a


AdTobKF