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

Short name:

CDA_DDALpb

Benchmark:

Description:

n/a

Hardware:

3.1GHz, 1 Core

Detector:

Public

Processing:

Online

Last submitted:

February 26, 2017 (7 months ago)

Published:

March 05, 2017 at 02:29:30 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

S. Bae and K. Yoon, Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking, In IEEE TPAMI, 2017.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
32.870.70.99.7 % 42.2 % 4,98335,6906141,5833.1GHz, 1 CorePublic
IDF1ID PrecisionID Recall
38.858.229.1

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
TUD-Crossing62.960.672.30.31330.8 % 7.7 % 53347922
PETS09-S2L242.533.769.32.1427.1 % 7.1 % 9344,409196438
ETH-Jelmoli34.644.673.10.44511.1 % 44.4 % 1791,4621848
ETH-Linthescher23.331.873.30.21974.6 % 69.5 % 2286,57053101
ETH-Crossing30.939.774.00.22611.5 % 50.0 % 37649712
AVG-TownCentre30.742.768.92.322613.7 % 31.9 % 1,0133,807136367
ADL-Rundle-130.543.371.72.13218.8 % 28.1 % 1,0645,36541104
ADL-Rundle-338.739.372.00.64411.4 % 34.1 % 3745,8074881
KITTI-1637.249.071.31.3170.0 % 17.6 % 26277334120
KITTI-1924.037.866.80.7623.2 % 33.9 % 7033,31545218
Venice-126.631.970.90.31711.8 % 58.8 % 1363,1862772

Raw data:


CDA_DDALpb