Contact nameBenjamin Laugraud
Contact emailblaugraud@ulg.ac.be
Contact university/companyUniversity of Liège
Method's nameLaBGen
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~1312 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 A = frame_difference, P = 1 , 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 3.6905 0.0137 0.0025 0.9650 32.7410 33.7866
wetSnow 2.8761 0.0032 0.0014 0.9735 35.8977 36.2576
I_SI_01 2.6415 0.0016 0.0002 0.9950 37.3899 37.8997
streetCornerAtNight 2.4926 0.0035 0.0026 0.9810 36.1371 37.1294
Hybrid 5.1850 0.0173 0.0012 0.9814 30.9250 31.4136
511 4.8294 0.0519 0.0034 0.9475 27.6577 29.5002
Blurred 1.3990 0.0001 0.0000 0.9975 41.5779 41.6541
CamouflageFgObjects 2.8018 0.0030 0.0000 0.9924 35.3111 35.6197
IntelligentRoom 2.8440 0.0021 0.0000 0.9928 35.4975 35.7985
PETS2006 2.0432 0.0027 0.0019 0.9896 35.2304 35.9487
IPPR2 7.5084 0.0279 0.0144 0.9195 24.8731 25.5719
MPEG4_40 3.5151 0.0264 0.0068 0.9575 29.5301 30.9761
ComplexBackground 6.1383 0.0304 0.0024 0.9821 28.9391 29.6085
Intersection 2.4286 0.0009 0.0000 0.9900 37.2576 37.7342
fluidHighway 8.4890 0.0459 0.0348 0.9373 26.4832 26.3977
highway 3.5363 0.0161 0.0007 0.9849 30.9667 31.8758
Video AGE pEPs pCEPS MSSSIM PSNR CQM
overpass 8.4784 0.1185 0.0122 0.8594 24.4699 25.5739
advertisementBoard 1.7016 0.0022 0.0011 0.9918 39.2165 38.4264
canoe 15.4902 0.2599 0.0546 0.6528 19.8916 20.4277
fountain01 5.8895 0.0589 0.0126 0.9280 25.7182 26.8892
fountain02 6.5509 0.0458 0.0033 0.9396 28.3714 29.1954
fall 24.8867 0.3284 0.1165 0.7075 15.3217 16.4568
Video AGE pEPs pCEPS MSSSIM PSNR CQM
O_SM_04 6.0987 0.0451 0.0004 0.9663 28.7995 29.8244
boulevard 10.1888 0.1382 0.0213 0.8946 21.4645 22.9249
I_SM_04 3.6223 0.0270 0.0009 0.9868 30.9049 31.7927
I_MC_02 15.6806 0.1960 0.0815 0.7254 18.5283 19.7560
badminton 2.2670 0.0107 0.0030 0.9805 34.6482 35.2688
O_MC_02 14.3346 0.1882 0.0784 0.7392 19.5089 20.3296
traffic 6.3326 0.0488 0.0077 0.9456 28.0888 28.9056
CMU 4.4925 0.0270 0.0004 0.9914 30.5248 31.2121
sidewalk 24.3696 0.3163 0.1847 0.4089 15.4856 17.2327
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Uturn 4.4739 0.0299 0.0187 0.9513 25.1420 26.1245
CaVignal 1.4002 0.0003 0.0000 0.9969 41.4840 41.5424
office 11.3751 0.1286 0.0533 0.9463 23.0739 24.5016
sofa 4.9532 0.0323 0.0230 0.9096 22.3705 23.6099
copyMachine 4.0018 0.0094 0.0014 0.9803 32.7088 33.5631
tramstop 2.6065 0.0032 0.0000 0.9945 36.2571 36.6223
UCF-traffic 2.2403 0.0129 0.0066 0.9605 31.9732 34.1891
streetCorner 5.1783 0.0218 0.0087 0.9685 27.8704 28.8824
AVSS2007 8.3062 0.0707 0.0541 0.9050 21.4577 22.3158
Teknomo 5.6895 0.0325 0.0098 0.9750 26.2867 27.2850
I_CA_02 3.9090 0.0237 0.0136 0.9436 26.5337 27.4951
Candela_m1.10 2.2004 0.0033 0.0014 0.9929 35.1166 35.1469
I_MB_02 1.8160 0.0007 0.0001 0.9942 37.7701 38.1320
I_MB_01 2.8586 0.0271 0.0227 0.9847 28.6463 29.7913
busStation 7.0296 0.0488 0.0369 0.8889 22.0988 23.0664
I_CA_01 2.8938 0.0244 0.0113 0.9624 32.8218 33.1298
Video AGE pEPs pCEPS MSSSIM PSNR CQM
People&Foliage 3.6336 0.0117 0.0040 0.9827 30.3911 30.6150
boulevardJam 8.2239 0.1090 0.0643 0.6851 22.6515 23.9772
Crowded 8.0420 0.0597 0.0422 0.9515 27.5358 28.7860
tramway 8.7681 0.0866 0.0328 0.8907 21.9851 23.5193
groupCampus 12.6862 0.1432 0.0883 0.7666 20.3986 21.0982
HumanBody2 3.4951 0.0077 0.0008 0.9936 33.4182 33.8362
Board 8.0208 0.0494 0.0095 0.8491 27.4114 28.3713
Foliage 2.8767 0.0009 0.0000 0.9969 35.8645 36.0976
UCF-fishes 6.2740 0.0743 0.0411 0.6998 23.5731 26.1034
ICRA3 24.3982 0.5809 0.5196 0.9313 18.2175 19.4008
IndianTraffic3 2.2180 0.0152 0.0114 0.9704 33.0117 33.9797
Video AGE pEPs pCEPS MSSSIM PSNR CQM
I_IL_01 6.1932 0.0243 0.0161 0.9863 29.8592 30.7346
I_IL_02 8.5095 0.0944 0.0533 0.9604 24.3327 25.1471
Dataset3Camera1 8.1582 0.0601 0.0232 0.9529 26.1717 27.2178
CameraParameter 1.4188 0.0001 0.0000 0.9967 42.4803 42.9645
Dataset3Camera2 5.8421 0.0258 0.0025 0.9829 29.4628 30.4902
cubicle 7.0311 0.0589 0.0284 0.9556 25.9582 26.7518
Video AGE pEPs pCEPS MSSSIM PSNR CQM
PedAndStorrowDrive3 3.2548 0.0164 0.0083 0.9898 30.5738 31.5591
PedAndStorrowDrive 4.8725 0.0370 0.0030 0.9831 29.1144 30.2577
BusStopMorning 5.8279 0.0240 0.0010 0.9849 29.3030 29.9402
Dataset4Camera1 5.0022 0.0124 0.0010 0.9879 30.4973 31.2022
Terrace 8.8870 0.0738 0.0242 0.9579 26.8066 27.7191
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Toscana 10.9326 0.1295 0.0975 0.8419 20.4747 21.3425
CUHK_Square 4.4512 0.0294 0.0009 0.9713 30.2741 30.7823
pedestrians 1.7429 0.0002 0.0000 0.9954 39.7714 40.0573
NoisyNight 5.3614 0.0245 0.0034 0.9195 29.7520 30.8282
peopleInShade 7.8633 0.0276 0.0087 0.9515 27.6030 28.3729
DynamicBackground 6.7325 0.0421 0.0003 0.9661 28.3747 28.9363
snowFall 2.4154 0.0011 0.0002 0.9609 37.5616 38.0114
TwoLeaveShop1cor 4.5734 0.0305 0.0193 0.9316 26.1578 26.8121
MIT 5.0143 0.0374 0.0030 0.9707 28.9847 30.0840
TownCentre 4.0056 0.0093 0.0026 0.9648 32.7997 32.9349