PHD_DCM: GM-PHD FILTER BASED ONLINE MULTIPLE HUMAN TRACKING USING DEEP DISCRIMINATIVE CORRELATION MATCHING


Video not available.

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.

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

Benchmark:

MOT17 |

Short name:

PHD_DCM

Detector:

Public

Description:

n/a

Reference:

Z. Fu, F. Angelini, S. Naqvi, J. Chambers. GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.

Last submitted:

October 07, 2017 (7 years ago)

Published:

November 19, 2020 at 12:25:12 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

i7 3.5GHz, 4 Cores; GTX 1060

Runtime:

1.6 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1746.547.638.2397 (16.9)875 (37.2)23,859272,43051.792.437.938.841.173.041.373.880.21.35,649 (109.2)9,298 (179.8)

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-DPM25.534.125.91121914,55629.490.831.521.332.971.422.268.877.10.458135
MOT17-01-FRCNN26.340.534.8681,4683,25949.568.537.033.042.766.540.756.379.13.32775
MOT17-01-SDP38.643.036.4751,0752,72957.777.635.338.137.675.845.160.778.32.4155191
MOT17-03-DPM43.439.130.619383,98054,65747.892.626.535.728.567.437.773.179.62.75731,793
MOT17-03-FRCNN57.454.942.535251,75642,49659.497.340.145.543.572.447.677.980.91.2322777
MOT17-03-SDP73.361.050.070161,25326,04875.198.443.757.546.575.960.479.181.50.86771,422
MOT17-06-DPM43.054.239.4261052396,29046.695.846.134.150.872.835.573.177.90.2193281
MOT17-06-FRCNN53.154.443.250576844,58461.191.341.345.553.860.849.173.480.10.6253279
MOT17-06-SDP52.858.845.470667974,41462.590.246.244.950.475.049.271.079.70.7351273
MOT17-07-DPM32.041.230.542945110,83135.993.135.026.836.577.127.972.378.30.9212447
MOT17-07-FRCNN32.940.032.26161,5669,52643.682.533.831.736.270.534.865.877.83.1250432
MOT17-07-SDP46.146.937.214121,1947,61654.988.635.339.637.575.643.470.079.62.4296439
MOT17-08-DPM22.728.626.364145315,73625.592.233.820.535.779.521.276.682.50.7146194
MOT17-08-FRCNN21.928.927.484087115,52326.586.535.921.038.280.822.172.282.21.4102140
MOT17-08-SDP29.232.128.7103577213,86034.490.430.926.933.775.028.374.481.51.2329381
MOT17-12-DPM37.649.338.310532335,10741.193.947.031.251.674.032.774.780.60.364104
MOT17-12-FRCNN39.251.339.812482964,92643.292.748.133.153.475.735.075.181.20.34980
MOT17-12-SDP41.455.844.119377194,25550.986.051.937.654.878.041.670.281.60.8106127
MOT17-14-DPM17.729.621.5310292213,92124.783.225.418.326.874.219.465.477.91.2363418
MOT17-14-FRCNN17.335.928.210733,09611,70436.768.631.925.635.562.929.354.974.34.1489647
MOT17-14-SDP30.442.730.911571,84310,39243.881.432.030.234.671.533.562.476.62.5634663

Raw data: