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


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:

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 (4 years ago)

Published:

July 18, 2020 at 08:26:29 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

Tesla P100

Runtime:

1.1 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1749.751.539.0300 (12.7)899 (38.2)25,149256,07454.692.538.739.641.971.442.371.578.21.42,499 (45.8)10,312 (188.8)

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-DPM29.827.522.72121504,33932.793.422.123.524.960.324.469.676.50.336145
MOT17-01-FRCNN31.734.829.83124873,88139.884.130.729.434.565.431.967.278.31.138132
MOT17-01-SDP41.438.531.6294763,25949.587.029.034.632.266.337.966.677.51.144170
MOT17-03-DPM56.252.739.638233,74741,89760.094.436.543.339.173.846.072.478.32.52511,469
MOT17-03-FRCNN65.262.645.643173,41232,86568.695.542.948.945.472.952.072.477.72.31811,714
MOT17-03-SDP67.164.448.353182,99131,18370.296.145.052.147.973.355.275.579.72.02161,888
MOT17-06-DPM35.841.430.7101203547,12839.592.933.228.639.065.429.970.476.90.378270
MOT17-06-FRCNN41.549.837.023925946,17747.690.439.335.047.064.437.370.978.20.5117320
MOT17-06-SDP43.346.834.828878225,72951.488.033.136.842.957.839.968.477.70.7136354
MOT17-07-DPM39.940.430.65249319,08346.289.328.832.930.769.035.067.675.71.9132402
MOT17-07-FRCNN36.036.628.93228229,86741.689.528.230.430.273.932.369.577.81.6125290
MOT17-07-SDP47.841.933.112121,3957,25957.087.427.540.330.366.344.267.777.22.8158474
MOT17-08-DPM29.736.129.6113561314,15333.091.935.325.038.570.826.272.979.61.093337
MOT17-08-FRCNN28.034.029.263853014,59930.992.536.123.840.870.824.874.280.00.876255
MOT17-08-SDP33.238.931.514301,00212,97138.689.134.628.938.169.730.770.979.11.6135383
MOT17-12-DPM38.952.739.99443574,90843.491.348.632.851.974.834.873.280.40.42990
MOT17-12-FRCNN36.146.736.510455934,91543.386.442.231.747.372.034.468.779.50.729110
MOT17-12-SDP39.349.336.812367744,44048.884.538.635.146.965.438.967.480.00.943126
MOT17-14-DPM18.928.520.349784714,03924.084.024.217.326.163.918.163.274.71.1101315
MOT17-14-FRCNN21.233.023.67672,08012,24733.775.024.023.726.362.026.258.274.22.8240482
MOT17-14-SDP26.738.327.35592,17211,13539.877.227.127.830.062.230.859.774.42.9241586

Raw data: