Contact nameBenjamin Laugraud
Contact email[email protected]
Contact university/companyUniversity of Liège
Method's nameLaBGen-P-Semantic (CV+U)
ReferenceB. Laugraud, S. Piérard, M. Van Droogenbroeck « LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation », MDPI Journal of Imaging, Volume 4, Issue 7, 25 June 2018 (http://www.mdpi.com/2313-433X/4/7/86)
Processing timeTBD
Code is available onlineFalse
Web pagehttp://www.telecom.ulg.ac.be/labgen
Parameters N = 4, S = 90, S_short = 3

You can download the background estimation results of this method by clicking here.

Video AGE pEPs pCEPS MSSSIM PSNR CQM
skating 7.0329 0.0590 0.0185 0.9345 25.0179 26.4241
wetSnow 2.2612 0.0006 0.0000 0.9843 38.0903 38.4415
streetCornerAtNight 3.3804 0.0020 0.0006 0.9799 34.6943 35.8121
Hybrid 4.6355 0.0105 0.0001 0.9859 31.9297 32.3757
511 3.7966 0.0296 0.0005 0.9754 30.1795 31.8026
Blurred 1.2055 0.0000 0.0000 0.9984 42.9524 43.0070
CamouflageFgObjects 3.4028 0.0153 0.0088 0.9781 29.8718 30.4615
IntelligentRoom 3.1824 0.0072 0.0030 0.9884 31.7091 32.3833
PETS2006 2.1174 0.0023 0.0014 0.9904 34.8369 35.5818
IPPR2 4.4930 0.0040 0.0001 0.9742 32.7239 32.7934
MPEG4_40 3.1630 0.0130 0.0012 0.9817 32.9384 33.7534
ComplexBackground 5.8314 0.0229 0.0015 0.9859 29.5327 30.2083
fluidHighway 9.8990 0.0581 0.0422 0.9330 25.2376 25.2728
Intersection 2.3780 0.0009 0.0000 0.9904 37.4376 37.9244
I_SI_01 1.9894 0.0016 0.0002 0.9954 39.0095 39.4260
highway 3.4362 0.0183 0.0009 0.9844 30.6409 31.5742
Video AGE pEPs pCEPS MSSSIM PSNR CQM
overpass 8.5003 0.1045 0.0106 0.8785 25.0270 26.0903
canoe 12.4806 0.2255 0.0214 0.7080 22.0724 24.4021
advertisementBoard 1.4856 0.0000 0.0000 0.9970 41.5943 41.5910
fountain01 5.6008 0.0546 0.0112 0.9368 26.4166 27.5932
fountain02 6.4647 0.0466 0.0019 0.9486 28.5772 29.4231
fall 18.6026 0.2678 0.0764 0.8093 17.9312 18.9650
Video AGE pEPs pCEPS MSSSIM PSNR CQM
O_SM_04 5.9793 0.0436 0.0008 0.9672 28.8518 29.9007
boulevard 12.5159 0.1647 0.0354 0.8518 19.5399 20.9578
I_SM_04 3.2864 0.0289 0.0004 0.9882 31.0136 31.8636
I_MC_02 14.6825 0.1839 0.0735 0.7495 18.9847 20.1772
badminton 2.9674 0.0237 0.0088 0.9549 32.1294 32.8211
traffic 7.1163 0.0665 0.0404 0.9065 27.3637 28.2668
O_MC_02 12.8844 0.1742 0.0642 0.7558 20.5036 21.3098
sidewalk 22.5203 0.2860 0.1611 0.4761 15.9149 17.6401
CMU 4.3573 0.0241 0.0001 0.9921 30.9712 31.6587
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Uturn 2.5459 0.0038 0.0015 0.9924 34.1556 34.7020
CaVignal 1.6070 0.0004 0.0000 0.9962 40.1094 40.3455
office 10.1463 0.1147 0.0301 0.9880 26.0886 27.3046
sofa 2.3187 0.0021 0.0008 0.9951 37.5525 37.7515
copyMachine 4.3472 0.0082 0.0011 0.9819 32.5341 33.3792
tramstop 2.5748 0.0030 0.0001 0.9951 36.0544 36.4578
UCF-traffic 2.1762 0.0138 0.0068 0.9624 31.3294 33.7231
streetCorner 5.0651 0.0171 0.0072 0.9776 28.9420 29.8897
AVSS2007 7.1867 0.0628 0.0490 0.9330 23.5443 24.2257
I_CA_01 2.0698 0.0003 0.0000 0.9934 38.8904 38.7785
I_CA_02 2.6523 0.0037 0.0001 0.9943 36.0951 36.6823
Candela_m1.10 2.0316 0.0005 0.0000 0.9968 38.2867 38.1970
I_MB_02 5.4173 0.0322 0.0219 0.9385 23.6874 24.8446
Teknomo 5.9014 0.0403 0.0079 0.9711 26.1115 27.1352
I_MB_01 1.8747 0.0000 0.0000 0.9968 39.9314 40.3823
busStation 3.0110 0.0074 0.0045 0.9832 32.7761 33.5290
Video AGE pEPs pCEPS MSSSIM PSNR CQM
People&Foliage 5.3043 0.0242 0.0139 0.9479 25.0906 25.5686
tramway 7.3004 0.0634 0.0264 0.9190 22.7384 24.2881
Crowded 7.9765 0.0527 0.0390 0.9578 27.7214 28.9686
groupCampus 8.0016 0.0802 0.0432 0.9187 26.9556 27.7670
IndianTraffic3 2.3862 0.0097 0.0056 0.9747 35.2559 36.2835
boulevardJam 3.0595 0.0124 0.0019 0.9722 32.6526 33.7308
HumanBody2 3.0086 0.0044 0.0002 0.9957 34.4297 34.7648
Board 5.2070 0.0140 0.0020 0.9476 30.8524 31.7249
Foliage 18.3207 0.3091 0.1881 0.6288 18.4931 18.8523
ICRA3 4.6229 0.0659 0.0464 0.9686 28.1563 28.9192
UCF-fishes 0.9298 0.0000 0.0000 0.9923 46.0781 47.1492
Video AGE pEPs pCEPS MSSSIM PSNR CQM
I_IL_01 6.4614 0.0439 0.0310 0.9703 28.2447 29.0790
I_IL_02 11.1557 0.1314 0.0906 0.9415 23.2846 24.0819
Dataset3Camera1 23.4863 0.3417 0.2742 0.7946 16.8073 18.0838
CameraParameter 19.4513 0.1349 0.1150 0.7570 14.0744 15.6274
Dataset3Camera2 17.6080 0.2500 0.1734 0.8828 18.1375 19.8483
cubicle 6.9155 0.0780 0.0447 0.9655 26.7102 27.5616
Video AGE pEPs pCEPS MSSSIM PSNR CQM
PedAndStorrowDrive3 2.6692 0.0113 0.0055 0.9926 31.9928 32.9344
PedAndStorrowDrive 20.5165 0.4140 0.2056 0.8011 19.1678 20.7057
BusStopMorning 5.0138 0.0241 0.0007 0.9861 29.8125 30.4199
Terrace 7.3307 0.0436 0.0317 0.9700 27.7356 28.3690
Dataset4Camera1 5.6439 0.0124 0.0007 0.9887 30.2617 31.0047
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Toscana 4.9757 0.0568 0.0386 0.9395 27.1999 27.9354
pedestrians 1.8709 0.0003 0.0000 0.9949 39.1292 39.4652
DynamicBackground 7.7244 0.0630 0.0019 0.9549 27.2266 27.8328
peopleInShade 5.5906 0.0047 0.0000 0.9844 31.0942 31.8184
MIT 5.4808 0.0441 0.0036 0.9666 28.3666 29.5081
snowFall 2.4292 0.0006 0.0000 0.9585 37.5376 37.9439
TownCentre 3.5194 0.0087 0.0017 0.9723 33.1175 33.5093
CUHK_Square 4.8656 0.0326 0.0018 0.9686 29.7139 30.2489
NoisyNight 5.5480 0.0228 0.0025 0.9185 29.9890 30.9320
TwoLeaveShop1cor 3.4457 0.0114 0.0063 0.9709 30.6982 31.1027