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

Short name:

AM_ADM

Benchmark:

Description:

n/a

Hardware:

3.4GHZ, 1Core

Detector:

Public

Processing:

Online

Last submitted:

July 05, 2018 (4 months ago)

Published:

July 13, 2018 at 08:39:00 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

S. Lee, M. Kim, S. Bae, Learning Discriminative Appearance Models for Online Multi-Object Tracking with Appearance Discriminability Measures, In IEEE Access, 2018.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
40.175.41.47.1 % 46.2 % 8,50399,8917891,7363.4GHZ, 1CorePublic
IDF1ID PrecisionID Recall
43.865.832.8

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0126.333.171.80.9238.7 % 52.2 % 4244,2582866
MOT16-0350.350.376.02.314818.9 % 20.9 % 3,51748,181311791
MOT16-0636.846.973.10.72215.4 % 51.6 % 8486,334113204
MOT16-0723.928.771.12.7540.0 % 42.6 % 1,36810,940119294
MOT16-0824.624.978.41.2634.8 % 46.0 % 72011,81688132
MOT16-1237.947.376.00.6869.3 % 45.3 % 5684,5404771
MOT16-1419.031.474.21.41640.6 % 62.8 % 1,05813,82283178

Raw data:


AM_ADM