Structural Constraint Event Aggregation

TUD-Crossing PETS09-S2L2 ETH-Jelmoli ETH-Linthescher ETH-Crossing AVG-TownCentre ADL-Rundle-1 ADL-Rundle-3 KITTI-16 KITTI-19

Short name:

SCEA

Benchmark:

Description:

n/a

Hardware:

4.0 GHZ, 1 Core

Detector:

Public

Processing:

Online

Last submitted:

November 10, 2015 (2 years ago)

Published:

November 10, 2015 at 12:57:50 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

J. Yoon, C. Lee, M. Yang, K. Yoon. Online Multi-object Tracking via Structural Constraint Event Aggregation. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
29.171.11.08.9 % 47.3 % 6,06036,9126041,1824.0 GHZ, 1 CorePublic
IDF1ID PrecisionID Recall
37.255.927.8

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing57.054.974.20.11323.1 % 23.1 % 154421730
PETS09-S2L244.633.369.31.2427.1 % 14.3 % 5364,633175289
ETH-Jelmoli40.452.572.60.74515.6 % 33.3 % 3121,1792250
ETH-Linthescher18.525.574.10.11971.5 % 76.6 % 807,1683341
ETH-Crossing22.328.173.90.1267.7 % 61.5 % 13757911
AVG-TownCentre29.345.269.61.622615.0 % 42.9 % 7384,22688233
ADL-Rundle-121.934.273.62.0329.4 % 53.1 % 9806,2285786
ADL-Rundle-333.038.073.02.0449.1 % 27.3 % 1,2695,45487106
KITTI-1640.155.471.80.7170.0 % 17.6 % 1468532048
KITTI-1919.441.264.71.2626.5 % 22.6 % 1,2273,02355216
Venice-118.230.371.81.7175.9 % 41.2 % 7442,9494172

Raw data:


SCEA
SVT