Particle PHD Filter With Online Group-structured Dictionary Learning

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

Short name:

PHD_GSDL16

Benchmark:

Description:

n/a

Hardware:

3.5GHz, 1 Core

Detector:

Public

Processing:

Online

Last submitted:

January 24, 2019 (6 months ago)

Published:

February 07, 2019 at 12:11:28 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Z. Fu, P. Feng, F. Angelini, J. Chambers, S. Naqvi. Particle PHD Filter based Multiple Human Tracking using Online Group-Structured Dictionary Learning. In IEEE Access, 2018.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
41.075.91.111.3 % 41.5 % 6,49899,2571,8103,6503.5GHz, 1 CorePublic
IDF1ID PrecisionID Recall
43.165.532.2

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0128.637.872.40.5238.7 % 39.1 % 2464,25563149
MOT16-0348.245.276.11.614815.5 % 23.0 % 2,45651,1865591,896
MOT16-0644.852.473.40.422112.7 % 43.0 % 4295,700235314
MOT16-0735.541.974.11.6549.3 % 33.3 % 8199,467248477
MOT16-0829.434.380.40.7639.5 % 42.9 % 45011,203168231
MOT16-1234.948.177.31.18616.3 % 43.0 % 9974,32978117
MOT16-1420.631.874.71.51644.9 % 57.9 % 1,10113,117459466

Raw data:


PHD_GSDL16