AdTobKF: Adaptive Tobit Kalman-based tracking


Benchmark:

Short name:

AdTobKF

Detector:

Public

Description:

n/a

Project page / code:

n/a

Reference:

K. Loumponias, A. Dimou, N. Vretos, P. Daras. Adaptive Tobit Kalman-Based Tracking. In 2018 14th International Conference on Signal-Image Technology \& Internet-Based Systems (SITIS), 2018.

Processing:

Online

Last submitted:

November 20, 2017 (2 years ago)

Published:

July 12, 2019 at 17:00:44 CET

Submissions:

3

Open source:

No

Hardware:

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
2D MOT 201524.834.570.829.0375.06,20139,321666

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
ADL-Rundle-118.738.471.84.09.02,2265,28460
ADL-Rundle-330.638.572.82.015.08166,17760
AVG-TownCentre22.136.568.78.0104.05744,888106
ETH-Crossing16.121.674.40.018.078278
ETH-Jelmoli35.948.073.06.018.01611,42936
ETH-Linthescher10.416.173.81.0169.0657,90234
KITTI-1639.252.071.51.03.014586921
KITTI-1922.937.366.52.020.08493,19281
PETS09-S2L238.231.369.03.07.08474,892221
TUD-Crossing53.056.572.82.03.02348213
Venice-114.726.372.40.09.04883,37926

Raw data:


AdTobKF