Contact nameIbrahim Halfaoui
Contact emailpierre-marc.jodoin@usherbrooke.ca
Contact university/companyTechnical University of Munich
Method's nameFC-FlowNet
ReferenceI. Halfaoui, F. Bouzaraa and O. Urfalioglu. "CNN-Based Initial Background Estimation", Scene Background Modeling workshop (ICPR) 2016
Processing time0.02 fps on 320x240 video with c++ code on core i5-4460 with Geforce GTX 750 GPU Contact name: Ibrahim Halfaoui
Code is available onlineFalse
Parameters patch_size 64, sliding_step =4, image_count = 20, l_rate = 0.0001

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

Video AGE pEPs pCEPS MSSSIM PSNR CQM
skating 10.2727 0.0864 0.0270 0.9163 26.1189 27.7637
wetSnow 5.4846 0.0585 0.0455 0.9537 28.7666 29.6333
I_SI_01 5.6003 0.0191 0.0062 0.9735 30.4491 31.4882
streetCornerAtNight 5.9342 0.0410 0.0246 0.9540 29.3777 30.8625
Hybrid 5.2095 0.0116 0.0001 0.9835 31.2519 31.7308
511 3.9735 0.0321 0.0018 0.9735 30.8573 32.5541
Blurred 2.6962 0.0015 0.0002 0.9902 36.3751 36.8199
CamouflageFgObjects 7.6897 0.0824 0.0528 0.9492 26.0819 26.7171
IntelligentRoom 4.0148 0.0145 0.0065 0.9889 32.4684 32.9393
PETS2006 4.4690 0.0050 0.0026 0.9869 32.8435 33.4613
IPPR2 4.8885 0.0074 0.0029 0.9671 32.0307 32.3574
MPEG4_40 4.3658 0.0211 0.0029 0.9672 30.9716 31.9616
ComplexBackground 7.9255 0.0573 0.0059 0.9697 27.4586 28.2575
Intersection 2.6379 0.0014 0.0000 0.9858 36.6118 37.0819
fluidHighway 9.3431 0.0615 0.0458 0.8953 24.9179 25.0971
highway 4.8637 0.0230 0.0025 0.9624 30.0133 30.9301
Video AGE pEPs pCEPS MSSSIM PSNR CQM
overpass 11.7651 0.1759 0.0634 0.8024 22.9186 23.9782
advertisementBoard 1.9866 0.0017 0.0002 0.9805 38.0131 37.8362
canoe 12.9931 0.2445 0.0255 0.7047 21.9016 23.2045
fountain01 6.0070 0.0607 0.0126 0.9423 26.7989 27.9265
fountain02 7.0802 0.0507 0.0023 0.9464 28.2507 29.1136
fall 20.4912 0.3304 0.1133 0.7908 18.2980 19.3497
Video AGE pEPs pCEPS MSSSIM PSNR CQM
O_SM_04 6.6031 0.0423 0.0006 0.9592 28.7531 29.7871
boulevard 10.6830 0.1389 0.0261 0.8956 22.5246 24.0208
I_SM_04 6.5629 0.0364 0.0013 0.9608 28.6320 29.3815
I_MC_02 13.9957 0.1866 0.0769 0.7717 20.1439 21.2958
badminton 5.5368 0.0318 0.0123 0.9367 29.9097 30.7442
O_MC_02 12.5144 0.1785 0.0677 0.7660 21.5277 22.3822
traffic 7.0354 0.0622 0.0358 0.8807 27.8152 28.6557
CMU 6.0770 0.0383 0.0020 0.9747 29.1939 29.8958
sidewalk 23.5164 0.3092 0.1788 0.4949 16.7163 18.4718
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Uturn 4.8543 0.0434 0.0201 0.9568 28.1358 28.8618
CaVignal 10.4371 0.1098 0.0847 0.8436 20.9508 22.1657
office 16.3642 0.2068 0.1068 0.8705 20.6453 21.6295
sofa 5.3569 0.0338 0.0203 0.9317 27.0397 28.0656
copyMachine 5.1513 0.0145 0.0027 0.9605 31.1055 31.7170
tramstop 4.1128 0.0140 0.0026 0.9877 31.8843 32.4192
UCF-traffic 2.6238 0.0187 0.0080 0.9458 31.4618 33.7276
streetCorner 8.0917 0.0632 0.0329 0.9174 24.3181 25.4336
AVSS2007 11.6751 0.1214 0.0966 0.8726 20.7442 21.7565
Teknomo 7.1418 0.0671 0.0067 0.9783 25.9490 26.8909
I_CA_02 8.3796 0.0958 0.0724 0.8469 22.5358 23.1551
Candela_m1.10 4.6857 0.0364 0.0238 0.9406 27.3917 28.0079
I_MB_02 6.9087 0.0653 0.0438 0.9334 25.0339 26.0402
I_MB_01 4.9924 0.0407 0.0272 0.9758 29.1250 29.9579
busStation 4.3513 0.0253 0.0068 0.9622 31.1049 31.7573
I_CA_01 3.3715 0.0014 0.0000 0.9759 35.0084 34.9513
Video AGE pEPs pCEPS MSSSIM PSNR CQM
People&Foliage 29.9425 0.5464 0.4351 0.7790 16.1362 16.9579
boulevardJam 5.0200 0.0278 0.0087 0.8619 30.3476 31.4309
Crowded 9.4450 0.0642 0.0339 0.9403 26.8784 28.1683
tramway 8.8271 0.1099 0.0435 0.9136 24.7391 26.2508
groupCampus 22.3467 0.4121 0.2873 0.6578 18.3183 19.4534
HumanBody2 7.3063 0.0643 0.0258 0.9749 27.2853 27.9776
Board 14.1523 0.1787 0.0999 0.8691 22.1587 23.2484
Foliage 7.4989 0.0557 0.0088 0.9719 27.9330 28.4892
UCF-fishes 3.4921 0.0044 0.0013 0.9127 33.8517 36.0601
ICRA3 27.5261 0.4187 0.3545 0.7804 15.5539 16.7726
IndianTraffic3 2.5544 0.0088 0.0051 0.9766 35.3190 36.3690
Video AGE pEPs pCEPS MSSSIM PSNR CQM
I_IL_01 9.0854 0.0773 0.0472 0.9593 26.9070 27.7990
I_IL_02 11.5856 0.1724 0.1098 0.9467 24.0082 24.5928
Dataset3Camera1 22.7042 0.5879 0.4640 0.9421 19.5870 20.8694
CameraParameter 3.1284 0.0421 0.0305 0.9266 31.0808 32.0749
Dataset3Camera2 24.4630 0.5450 0.4276 0.9395 18.3811 19.9331
cubicle 9.2304 0.1256 0.0643 0.9569 25.2641 26.1142
Video AGE pEPs pCEPS MSSSIM PSNR CQM
PedAndStorrowDrive3 3.2145 0.0077 0.0010 0.9919 34.0184 34.7495
PedAndStorrowDrive 10.6310 0.1145 0.0140 0.9554 25.0793 26.3765
BusStopMorning 5.6795 0.0265 0.0003 0.9833 29.8590 30.5611
Dataset4Camera1 5.9829 0.0108 0.0009 0.9880 30.3018 30.9637
Terrace 13.3554 0.1769 0.0784 0.9267 24.1614 24.9959
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Toscana 10.0758 0.1376 0.0882 0.8975 23.7985 24.5673
CUHK_Square 8.1204 0.0917 0.0275 0.9190 26.2069 26.8343
pedestrians 3.1884 0.0061 0.0011 0.9768 34.4317 35.1845
NoisyNight 6.2460 0.0292 0.0025 0.9141 29.3019 30.2786
peopleInShade 7.4920 0.0368 0.0178 0.9483 28.5377 29.3447
DynamicBackground 9.1948 0.0968 0.0197 0.9426 25.8003 26.5256
snowFall 2.7135 0.0009 0.0003 0.9575 36.4536 36.8985
TwoLeaveShop1cor 5.7838 0.0541 0.0364 0.9241 27.3583 28.0522
MIT 6.8772 0.0635 0.0109 0.9473 27.1550 28.2971
TownCentre 5.4020 0.0241 0.0062 0.9177 30.4030 30.7597