Contact nameBenjamin Laugraud
Contact email[email protected]
Contact university/companyUniversity of Liège
Method's nameLaBGen-P
ReferenceB. Laugraud, S. Piérard, M. Van Droogenbroeck "LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen", Scene Background Modeling workshop (ICPR) 2016
Processing time~126 FPS for a 640x480 video with C++ code on a Core i7-4790K
Code is available onlineTrue
Web pagehttp://www.telecom.ulg.ac.be/labgen
Parameters N = 3, S = 19

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

Video AGE pEPs pCEPS MSSSIM PSNR CQM
skating 3.9299 0.0222 0.0058 0.9521 30.5896 31.7373
wetSnow 2.7123 0.0028 0.0015 0.9763 35.9325 36.3268
I_SI_01 2.4992 0.0015 0.0002 0.9951 37.7145 38.1949
streetCornerAtNight 2.4880 0.0035 0.0026 0.9812 36.1243 37.1263
Hybrid 4.8912 0.0119 0.0000 0.9847 31.5259 31.9792
511 4.7583 0.0511 0.0028 0.9496 27.8376 29.6666
Blurred 1.4585 0.0001 0.0000 0.9975 41.3447 41.4575
CamouflageFgObjects 2.7998 0.0034 0.0000 0.9926 35.3108 35.6081
IntelligentRoom 2.8207 0.0024 0.0000 0.9928 35.5056 35.8203
PETS2006 1.7470 0.0000 0.0000 0.9946 40.9383 41.0124
IPPR2 7.5048 0.0282 0.0144 0.9195 24.8717 25.5710
MPEG4_40 3.4017 0.0203 0.0027 0.9697 31.2961 32.3957
ComplexBackground 6.1958 0.0291 0.0020 0.9837 28.9736 29.6502
Intersection 2.4348 0.0008 0.0000 0.9899 37.2744 37.7418
fluidHighway 10.1423 0.0535 0.0325 0.9362 26.1301 26.2999
highway 3.7555 0.0182 0.0007 0.9838 30.5417 31.4874
Video AGE pEPs pCEPS MSSSIM PSNR CQM
overpass 8.9894 0.1163 0.0103 0.8632 24.6136 25.6992
advertisementBoard 1.6655 0.0001 0.0000 0.9966 40.7212 40.7527
canoe 15.1473 0.2608 0.0539 0.6296 19.8011 20.3476
fountain01 5.9230 0.0595 0.0129 0.9305 25.8217 26.9854
fountain02 6.3433 0.0420 0.0027 0.9432 28.6699 29.4793
fall 25.4460 0.3312 0.1218 0.7018 15.1002 16.1846
Video AGE pEPs pCEPS MSSSIM PSNR CQM
O_SM_04 6.0836 0.0451 0.0004 0.9670 28.7819 29.8075
boulevard 9.7258 0.1293 0.0202 0.8997 21.7984 23.2425
I_SM_04 3.6823 0.0289 0.0008 0.9859 30.4775 31.3986
I_MC_02 15.2796 0.1905 0.0783 0.7379 18.6725 19.8981
badminton 2.2477 0.0097 0.0020 0.9798 34.9925 35.5817
O_MC_02 14.0312 0.1841 0.0731 0.7457 19.6671 20.4931
traffic 6.5932 0.0527 0.0088 0.9379 27.7095 28.5466
CMU 4.8252 0.0336 0.0004 0.9902 29.6174 30.3500
sidewalk 24.3696 0.3163 0.1847 0.4089 15.4856 17.2327
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Uturn 4.1264 0.0309 0.0168 0.9557 27.0350 27.7828
CaVignal 1.5841 0.0004 0.0000 0.9963 40.1694 40.3987
office 8.7656 0.0899 0.0285 0.9870 27.0011 28.1590
sofa 2.3029 0.0023 0.0009 0.9949 37.5161 37.7663
copyMachine 8.6609 0.0575 0.0450 0.9068 21.7672 23.3701
tramstop 2.3760 0.0031 0.0000 0.9954 36.4416 36.7914
UCF-traffic 2.2418 0.0143 0.0071 0.9583 31.7918 33.8299
streetCorner 6.5207 0.0402 0.0215 0.9334 24.2295 25.3387
AVSS2007 9.0258 0.0722 0.0513 0.8888 22.1115 22.9735
Teknomo 5.6828 0.0267 0.0063 0.9795 26.4342 27.4568
I_CA_02 3.0004 0.0071 0.0010 0.9888 33.1357 33.8631
Candela_m1.10 2.0389 0.0007 0.0000 0.9969 38.2657 38.1866
I_MB_02 2.5922 0.0018 0.0010 0.9924 36.8773 37.2277
I_MB_01 2.0096 0.0000 0.0000 0.9970 39.4674 39.9490
busStation 2.8988 0.0083 0.0029 0.9851 33.1836 33.8982
I_CA_01 2.2183 0.0054 0.0016 0.9836 36.5312 36.6241
Video AGE pEPs pCEPS MSSSIM PSNR CQM
People&Foliage 3.7588 0.0141 0.0082 0.9890 30.4380 30.8584
boulevardJam 17.0916 0.2286 0.1255 0.5550 19.3248 20.5221
Crowded 8.1997 0.0567 0.0384 0.9496 27.4811 28.7322
tramway 8.1555 0.0781 0.0307 0.9089 22.5280 24.0307
groupCampus 7.4604 0.0609 0.0308 0.9286 27.6343 28.6487
HumanBody2 3.4064 0.0091 0.0020 0.9929 32.9662 33.4312
Board 6.4846 0.0398 0.0094 0.9077 28.4399 29.3575
Foliage 2.6694 0.0006 0.0000 0.9974 36.3978 36.6420
UCF-fishes 6.2740 0.0743 0.0411 0.6998 23.5731 26.1034
ICRA3 21.9689 0.5218 0.4603 0.9413 18.8769 20.0217
IndianTraffic3 1.3729 0.0004 0.0000 0.9935 41.5939 42.0877
Video AGE pEPs pCEPS MSSSIM PSNR CQM
I_IL_01 9.0826 0.1259 0.1068 0.9717 24.1281 25.3542
I_IL_02 5.6962 0.0397 0.0281 0.9718 27.9256 28.7642
Dataset3Camera1 9.5720 0.0545 0.0148 0.9583 26.5468 27.7226
CameraParameter 6.6294 0.0302 0.0262 0.9385 18.4163 20.1838
Dataset3Camera2 5.3625 0.0243 0.0045 0.9777 29.3772 30.3361
cubicle 8.6241 0.0922 0.0455 0.9602 24.8989 25.7526
Video AGE pEPs pCEPS MSSSIM PSNR CQM
PedAndStorrowDrive3 2.8949 0.0103 0.0055 0.9932 32.0178 32.9416
PedAndStorrowDrive 6.8513 0.0779 0.0066 0.9697 26.8766 28.0936
BusStopMorning 5.8279 0.0240 0.0010 0.9849 29.3030 29.9402
Dataset4Camera1 5.3120 0.0102 0.0007 0.9901 30.7613 31.4586
Terrace 15.6280 0.2788 0.1837 0.9422 22.5282 23.2705
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Toscana 9.8684 0.1331 0.1007 0.8757 21.9912 22.9289
CUHK_Square 4.9347 0.0330 0.0012 0.9655 29.8919 30.3907
pedestrians 1.8655 0.0002 0.0000 0.9949 39.3010 39.6364
NoisyNight 5.1411 0.0199 0.0018 0.9290 30.6201 31.5451
peopleInShade 9.2730 0.0818 0.0552 0.9183 25.2761 26.1391
DynamicBackground 7.3852 0.0539 0.0010 0.9628 27.5186 28.0590
snowFall 2.6199 0.0013 0.0001 0.9581 37.0424 37.5060
TwoLeaveShop1cor 5.1854 0.0429 0.0303 0.9278 25.8075 26.5039
MIT 4.7829 0.0356 0.0026 0.9721 29.2161 30.2826
TownCentre 4.5968 0.0156 0.0056 0.9565 31.5989 31.7026