Contact nameN/A N/A
Contact emailnone@none.com
Contact university/companyAnonymous
Method's nameRMAMR
ReferenceX. Ye, Foreground-Background Separation From Video Clips via Motion-Assisted Matrix Restoration, T-CSVT, 2015 => https://github.com/andrewssobral/lrslibrary
Processing timeN/A
Code is available onlineTrue
Web pagehttp://cs.tju.edu.cn/faculty/likun/projects/bf_separation/index.htm
Parameters omega=3x3, lambda=1,gamma=1

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

Video AGE pEPs pCEPS MSSSIM PSNR CQM
skating 25.3211 0.4203 0.3524 0.9208 18.1381 19.8825
wetSnow 38.8093 0.9383 0.8820 0.9196 16.0344 17.2749
I_SI_01 3.6504 0.0009 0.0000 0.9947 35.1002 35.6478
streetCornerAtNight 11.3448 0.1202 0.0760 0.9134 24.7072 26.3754
Hybrid 5.8395 0.0181 0.0003 0.9814 30.4245 30.9022
511 4.6963 0.0437 0.0016 0.9698 29.3680 31.1854
Blurred 4.5032 0.0001 0.0000 0.9960 33.3684 34.0249
CamouflageFgObjects 3.4230 0.0055 0.0000 0.9892 33.8500 34.2516
IntelligentRoom 3.3743 0.0041 0.0000 0.9916 34.2649 34.6153
PETS2006 3.0469 0.0005 0.0000 0.9858 35.8618 36.2286
IPPR2 1.4307 0.0008 0.0001 0.9963 40.8017 40.8729
MPEG4_40 3.9153 0.0170 0.0016 0.9757 32.1659 33.0528
ComplexBackground 5.5652 0.0222 0.0016 0.9855 29.7970 30.4619
Intersection 13.9712 0.0627 0.0013 0.9838 24.7814 25.9697
fluidHighway 10.3766 0.1226 0.0939 0.8815 25.2666 25.0046
highway 4.0540 0.0211 0.0011 0.9845 30.3576 31.3877
Video AGE pEPs pCEPS MSSSIM PSNR CQM
overpass 14.7326 0.1737 0.0609 0.7184 19.2119 20.2201
advertisementBoard 3.4816 0.0105 0.0068 0.9856 30.3654 31.2129
canoe 14.9290 0.2597 0.0409 0.6787 21.0752 21.9251
fountain01 5.7423 0.0539 0.0111 0.9396 26.5195 27.6992
fountain02 7.3310 0.0634 0.0037 0.9332 27.5519 28.4888
fall 24.5093 0.3621 0.1335 0.7434 16.3593 17.4588
Video AGE pEPs pCEPS MSSSIM PSNR CQM
O_SM_04 12.7565 0.1324 0.0080 0.9461 24.1893 25.4458
boulevard 10.6517 0.0514 0.0019 0.9796 25.4938 26.8045
I_SM_04 4.1991 0.0432 0.0016 0.9764 28.6343 29.6638
I_MC_02 17.8884 0.2256 0.1097 0.6676 17.8908 19.0992
badminton 3.9040 0.0211 0.0121 0.9336 27.6462 28.6259
O_MC_02 10.8048 0.1367 0.0371 0.8424 23.0120 23.9326
traffic 8.0571 0.0445 0.0062 0.9506 27.9230 28.8099
CMU 5.0400 0.0283 0.0002 0.9914 30.3305 31.0165
sidewalk 25.2710 0.3345 0.2001 0.3650 15.3788 17.1806
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Uturn 23.5045 0.5851 0.3548 0.9014 18.8145 20.0003
CaVignal 1.7139 0.0005 0.0000 0.9961 39.4246 39.7768
office 9.2818 0.0238 0.0018 0.9799 27.2248 28.4258
sofa 4.2793 0.0454 0.0332 0.9361 26.8538 27.9731
copyMachine 8.2203 0.0573 0.0399 0.9188 22.0572 23.6540
tramstop 2.4325 0.0060 0.0006 0.9932 34.5196 35.0157
UCF-traffic 33.0424 0.9592 0.8986 0.9301 17.5131 20.0467
streetCorner 7.6625 0.0537 0.0155 0.9494 25.5944 26.7038
AVSS2007 21.3787 0.1766 0.1445 0.7609 15.2104 16.4984
Teknomo 6.7340 0.0478 0.0119 0.9744 25.7025 26.7203
I_CA_02 8.4266 0.0929 0.0674 0.8535 22.2042 22.8102
Candela_m1.10 3.9135 0.0178 0.0076 0.9675 28.5237 29.2448
I_MB_02 8.6215 0.0635 0.0483 0.8762 20.5782 21.7290
I_MB_01 7.7861 0.0575 0.0439 0.9550 25.6919 26.5418
busStation 3.5535 0.0051 0.0024 0.9762 32.9846 33.6998
I_CA_01 15.4741 0.3132 0.2561 0.9679 22.9591 23.6995
Video AGE pEPs pCEPS MSSSIM PSNR CQM
People&Foliage 16.0338 0.1748 0.0860 0.8816 20.0418 20.6402
boulevardJam 12.4602 0.0663 0.0168 0.9490 24.8147 26.2057
Crowded 5.5936 0.0313 0.0232 0.9609 29.6952 30.6769
tramway 8.5598 0.0564 0.0202 0.9374 23.5455 25.0967
groupCampus 11.2763 0.1502 0.0902 0.8961 24.4020 25.5276
HumanBody2 5.2556 0.0220 0.0029 0.9818 27.8832 28.9280
Board 6.0021 0.0266 0.0034 0.9337 29.6174 30.4247
Foliage 12.3289 0.1322 0.0560 0.9656 21.9697 22.5790
UCF-fishes 4.5847 0.0018 0.0007 0.9848 33.6925 33.7543
ICRA3 3.4803 0.0227 0.0140 0.9548 27.1542 27.9822
IndianTraffic3 4.1721 0.0270 0.0100 0.9450 30.7432 31.7717
Video AGE pEPs pCEPS MSSSIM PSNR CQM
I_IL_01 24.6833 0.4939 0.4358 0.9017 18.9245 20.0381
I_IL_02 7.4431 0.0753 0.0473 0.9586 25.5883 26.3331
Dataset3Camera1 22.2037 0.5118 0.3730 0.9163 19.0118 20.2410
CameraParameter 6.1241 0.0061 0.0012 0.9810 31.0456 32.2656
Dataset3Camera2 5.7991 0.0535 0.0110 0.9843 27.7173 28.7986
cubicle 24.4050 0.5137 0.3996 0.9023 18.1258 19.3263
Video AGE pEPs pCEPS MSSSIM PSNR CQM
PedAndStorrowDrive3 3.8365 0.0213 0.0096 0.9887 29.5745 30.6857
PedAndStorrowDrive 4.8072 0.0282 0.0037 0.9848 29.2680 30.3757
BusStopMorning 5.6762 0.0293 0.0008 0.9868 29.0229 29.8146
Dataset4Camera1 3.1673 0.0117 0.0057 0.9834 30.7482 30.9302
Terrace 2.0949 0.0013 0.0002 0.9866 37.9372 38.3261
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Toscana 6.8136 0.0477 0.0288 0.9046 22.8238 23.7273
CUHK_Square 4.9932 0.0261 0.0009 0.9710 30.2115 30.6559
pedestrians 4.9555 0.0033 0.0000 0.9906 31.6045 31.8777
NoisyNight 5.3378 0.0152 0.0010 0.9298 30.8173 31.6625
peopleInShade 9.3880 0.0200 0.0013 0.9811 27.5509 28.4984
DynamicBackground 7.3760 0.0509 0.0006 0.9637 27.9375 28.6182
snowFall 31.0542 0.7570 0.7260 0.8869 17.4874 18.6812
TwoLeaveShop1cor 4.0503 0.0246 0.0148 0.9441 28.8082 29.4246
MIT 5.7846 0.0465 0.0041 0.9645 28.1498 29.3104
TownCentre 3.6104 0.0079 0.0006 0.9742 33.4240 33.9741