oICF: Online Multi-Person Tracking using Integral Channel Features


Benchmark:

Short name:

oICF

Detector:

Public

Description:

n/a

Project page / code:

n/a

Reference:

H. Kieritz, S. Becker, W. Hübner, M. Arens. Online Multi-Person Tracking using Integral Channel Features. In IEEE Advanced Video and Signal-based Surveillance (AVSS) 2016, 2016.

Processing:

Online

Last submitted:

March 27, 2016 (4 years ago)

Published:

April 15, 2016 at 18:24:36 CET

Submissions:

1

Open source:

No

Hardware:

2.30GHz, 2 Core

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
2D MOT 201527.140.570.046.0351.07,59436,757454

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
ADL-Rundle-127.746.571.24.010.01,5265,17824
ADL-Rundle-333.542.472.34.012.01,2155,47863
AVG-TownCentre15.436.267.511.097.01,5484,41782
ETH-Crossing22.338.572.01.016.0387410
ETH-Jelmoli43.658.971.37.014.02021,21910
ETH-Linthescher13.421.071.76.0164.01497,56812
KITTI-1636.051.371.40.03.023883219
KITTI-1918.046.164.73.020.01,1483,18252
PETS09-S2L241.539.468.14.04.09544,508180
TUD-Crossing64.269.674.25.02.0203704
Venice-116.131.772.01.09.05563,2648

Raw data:


oICF