CS_MOT: A Cost Matrix Optimization Method Based on Spatial Constraints under Hungarian Algorithm

MOT16-01


Benchmark:

MOT16 | MOT17 |

Short name:

CS_MOT

Detector:

Public

Description:

Reference:

A Cost Matrix Optimization Method Based on Spatial Constraints under Hungarian Algorithm

Last submitted:

July 13, 2020 (9 months ago)

Published:

July 18, 2020 at 08:26:19 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

Tesla P100

Runtime:

1.2 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MOTP MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1646.751.537.674.076 (10.0)332 (43.7)5,94190,56650.393.939.036.741.672.938.672.177.91.0619 (12.3)2,981 (59.2)

Detailed performance:

Sequence MOTA IDF1 HOTA MOTP MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT16-0130.127.722.972.02111504,28433.093.422.223.725.060.424.669.676.50.336145
MOT16-0356.759.242.374.234262,68942,45459.495.841.643.244.074.445.573.478.21.81571,485
MOT16-0636.242.031.172.4101183816,90940.192.433.629.039.665.330.470.076.80.377271
MOT16-0741.441.231.271.66189268,50947.989.428.834.230.869.036.367.875.71.9133407
MOT16-0837.744.734.277.111225239,82641.393.037.431.440.573.233.074.380.00.886268
MOT16-1239.753.840.677.49404254,54545.289.848.633.951.874.836.372.180.40.52990
MOT16-1418.928.520.370.449784714,03924.084.024.217.326.163.918.163.274.71.1101315

Raw data: