MOT16-01 MOT16-03 MOT16-06 MOT16-07 MOT16-08 MOT16-12 MOT16-14

Short name:

CDA_DDALv2

Benchmark:

Description:

n/a

Hardware:

3.1GHz, 1 Core

Detector:

Public

Processing:

Online

Last submitted:

February 21, 2017 (1 year ago)

Published:

March 05, 2017 at 02:30:03 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
43.974.71.110.7 % 44.4 % 6,45095,1756761,7953.1GHz, 1 CorePublic
IDF1ID PrecisionID Recall
45.166.534.1

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0133.238.870.80.32317.4 % 43.5 % 1564,0982179
MOT16-0351.848.874.92.014818.2 % 20.9 % 3,02947,087251890
MOT16-0639.244.373.40.72219.0 % 50.7 % 7986,11993170
MOT16-0738.843.772.81.65411.1 % 31.5 % 8109,064107258
MOT16-0828.932.378.30.8636.3 % 44.4 % 50311,32279128
MOT16-1238.347.176.30.58616.3 % 58.1 % 4744,6152752
MOT16-1426.235.573.40.91643.7 % 54.3 % 68012,87098218

Raw data:


CDA_DDALv2