MOMOT_GLMB: MO multiple object tracking using GLMB filter


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Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT17 | MOT15 |

Short name:

MOMOT_GLMB

Detector:

Public

Description:

Reference:

Mohammadjavad Abbaspour, Mohammad Ali Masnadi-Shirazi. Online Multi-Object Tracking with delta-GLMB Filter based on Occlusion and Identity Switch Handling. In arXiv preprint arXiv:2011.10111, 2020.

Last submitted:

November 11, 2020 (4 years ago)

Published:

April 25, 2021 at 15:13:09 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

Xeon(R) CPU E3-1505M

Runtime:

0.6 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1755.563.448.1448 (19.0)845 (35.9)15,520234,23558.595.552.344.556.577.346.976.680.90.91,333 (22.8)13,805 (236.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT17-01-DPM41.452.940.5411303,74342.098.951.432.153.479.332.977.680.30.16287
MOT17-01-FRCNN42.654.241.57102233,46946.293.050.134.455.676.236.573.480.20.511336
MOT17-01-SDP43.354.041.26102493,39947.392.548.235.254.174.437.473.180.00.69328
MOT17-03-DPM66.769.052.256181,61933,07168.497.852.452.155.877.954.678.181.11.1188410
MOT17-03-FRCNN65.469.952.654241,37334,67466.998.154.351.157.379.253.478.481.00.9146503
MOT17-03-SDP77.377.258.689142,64820,88680.096.957.759.862.276.863.476.780.11.8179826
MOT17-06-DPM48.458.344.830926065,43753.991.348.941.260.168.944.174.781.30.533738
MOT17-06-FRCNN51.859.045.741609894,64560.687.846.445.260.863.349.972.381.20.846838
MOT17-06-SDP53.061.446.959691,0914,40562.687.148.345.963.163.151.171.181.00.942854
MOT17-07-DPM38.949.236.54215789,66142.892.640.333.242.378.634.875.280.31.284841
MOT17-07-FRCNN37.951.538.04189489,45344.088.743.433.646.276.135.972.279.81.992900
MOT17-07-SDP42.152.739.57159868,69148.689.342.736.745.576.239.372.379.72.0106988
MOT17-08-DPM29.842.636.093712814,65930.698.151.025.452.885.726.083.284.80.241700
MOT17-08-FRCNN27.338.834.4103829015,01828.995.550.023.752.483.224.480.684.40.540649
MOT17-08-SDP30.743.736.7123629614,29832.395.851.326.353.783.927.180.483.70.547718
MOT17-12-DPM39.556.442.68443914,83144.390.751.235.557.277.037.677.183.30.421414
MOT17-12-FRCNN38.652.039.69462635,04541.893.247.133.453.377.435.178.383.70.313370
MOT17-12-SDP42.457.543.211443714,60746.891.651.236.657.776.138.976.282.90.414453
MOT17-14-DPM31.945.831.578731812,21833.995.238.625.940.577.426.875.279.80.447745
MOT17-14-FRCNN32.247.333.79781,07811,37038.586.840.128.443.771.230.468.578.21.486917
MOT17-14-SDP36.350.935.612731,04510,65542.488.241.031.144.971.433.369.478.41.482990

Raw data: