GM_PHD_DAL: Online Multi-object Visual Tracking using a GM-PHD Filter with Deep Appearance Learning

MOT16-06


Benchmark:

MOT16 |

Short name:

GM_PHD_DAL

Detector:

Public

Description:

n/a

Reference:

N. Baisa. Online Multi-object Visual Tracking using a GM-PHD Filter with Deep Appearance Learning. In 2019 22th International Conference on Information Fusion (FUSION), 2019.

Last submitted:

March 21, 2019 (2 years ago)

Published:

February 11, 2019 at 22:59:20 CET

Submissions:

2

Open source:

No

Hardware:

3 GHZ, 1 Core

Runtime:

3.5 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1635.126.623.053 (7.0)390 (51.4)2,350111,88638.696.818.329.319.569.730.375.879.90.44,047 (104.8)5,338 (138.2)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT16-0122.019.717.7213634,81824.796.217.318.218.264.018.672.677.80.1107170
MOT16-0340.927.423.912441,00958,34844.297.917.233.518.073.034.676.680.00.72,3933,121
MOT16-0640.236.828.5181121256,45744.097.625.432.330.456.733.474.178.20.1313371
MOT16-0729.523.620.142633210,71034.494.415.925.816.661.526.773.378.50.7472638
MOT16-0828.525.322.652923711,49831.395.720.425.121.868.225.979.082.60.4229310
MOT16-1236.034.828.58443134,84241.691.725.931.427.971.933.273.180.50.3155230
MOT16-1414.215.613.7412227115,21317.792.314.113.415.757.713.771.578.70.4378498

Raw data:


GM_PHD_DAL