Global Motion PHD-PF with LMP

MOT17-01-DPM MOT17-03-DPM MOT17-06-DPM MOT17-07-DPM MOT17-08-DPM MOT17-12-DPM MOT17-14-DPM MOT17-01-FRCNN MOT17-03-FRCNN MOT17-06-FRCNN

Short name:

PHD_LMP

Benchmark:

Description:

n/a

Hardware:

i7 16GB RAM

Detector:

Public

Processing:

Online

Last submitted:

January 30, 2019 (19 days ago)

Published:

February 06, 2019 at 11:55:19 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
45.976.61.615.5 % 37.9 % 27,946272,1964,9776,985i7 16GB RAMPublic
IDF1ID PrecisionID Recall
42.558.833.3

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT17-01-DPM26.032.572.50.32412.5 % 54.2 % 1544,5952142
MOT17-03-DPM45.737.375.63.814817.6 % 23.6 % 5,70650,5366291,107
MOT17-06-DPM36.944.972.30.722211.3 % 49.1 % 8616,360213295
MOT17-07-DPM35.636.673.71.8608.3 % 41.7 % 9059,838139214
MOT17-08-DPM23.526.679.01.4767.9 % 51.3 % 86615,151137170
MOT17-12-DPM36.743.876.50.89114.3 % 46.2 % 6794,7575481
MOT17-14-DPM15.722.773.81.31641.2 % 64.6 % 98614,341248338
MOT17-01-FRCNN31.036.376.52.52425.0 % 41.7 % 1,1203,2983246
MOT17-03-FRCNN55.846.277.41.214823.0 % 19.6 % 1,80444,095367544
MOT17-06-FRCNN44.248.975.50.922217.6 % 29.7 % 1,0615,262253321
MOT17-07-FRCNN33.538.375.01.8606.7 % 33.3 % 88610,230118239
MOT17-08-FRCNN22.126.680.30.9767.9 % 53.9 % 59115,7877292
MOT17-12-FRCNN36.246.878.00.49112.1 % 53.8 % 3855,1182840
MOT17-14-FRCNN16.329.371.43.11643.7 % 48.2 % 2,35212,550566651
MOT17-01-SDP42.141.174.42.02429.2 % 20.8 % 9062,74285112
MOT17-03-SDP72.055.478.41.714845.3 % 8.8 % 2,51526,147621990
MOT17-06-SDP47.351.474.21.122227.0 % 29.3 % 1,3354,544327396
MOT17-07-SDP46.243.075.32.36016.7 % 23.3 % 1,1317,773191300
MOT17-08-SDP29.630.779.11.17613.2 % 44.7 % 71613,959204243
MOT17-12-SDP42.753.078.50.89120.9 % 40.7 % 6804,2325666
MOT17-14-SDP25.333.372.33.11643.0 % 37.2 % 2,30710,881616698

Raw data:

n/a


PHD_LMP