Contact nameSajid Javed
Contact email[email protected]
Contact university/companyKyungpook National University
Method's nameMSCL
ReferenceSajid Javed, Arif Mahmood, Thierry Bouwmans, and Soon Ki Jung, "Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering" accepted at IEEE Trans on Image Processing, 2017
Processing time1.5mins for 50 frames of size 320x240
Code is available onlineFalse
Web pagehttp://vr.knu.ac.kr/
Parameters gamma_1=gamma_2=gamma_3=gamma_4=10, mu_k=0.1, u x u=5 x 5, epsilon_1=0.0001, epsilon_2=0.00001

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

Video AGE pEPs pCEPS MSSSIM PSNR CQM
skating 4.1107 0.0247 0.0028 0.9490 31.1819 32.3789
wetSnow 2.4386 0.0013 0.0002 0.9821 37.2259 37.6929
I_SI_01 2.6355 0.0024 0.0003 0.9937 36.6521 37.1012
streetCornerAtNight 2.5844 0.0036 0.0026 0.9793 35.8877 36.9329
Hybrid 5.4405 0.0147 0.0000 0.9849 30.9296 31.3951
511 4.2186 0.0366 0.0017 0.9703 30.0808 31.8784
Blurred 1.8057 0.0006 0.0000 0.9930 38.1747 38.5264
CamouflageFgObjects 3.0948 0.0034 0.0000 0.9909 34.6224 34.9770
IntelligentRoom 2.6181 0.0014 0.0000 0.9937 36.3290 36.5935
PETS2006 2.3728 0.0027 0.0016 0.9866 34.0810 34.7595
IPPR2 1.1311 0.0003 0.0000 0.9972 42.7460 42.7472
MPEG4_40 0.2314 0.0001 0.0000 0.9990 51.2315 50.1779
ComplexBackground 5.5652 0.0222 0.0016 0.9855 29.7970 30.4619
Intersection 2.7140 0.0015 0.0000 0.9880 36.2832 36.8337
fluidHighway 9.6454 0.0413 0.0175 0.9186 26.6775 26.8877
highway 3.8242 0.0230 0.0013 0.9790 30.0294 31.0673
Video AGE pEPs pCEPS MSSSIM PSNR CQM
overpass 8.8303 0.1275 0.0134 0.8481 24.5312 25.6194
advertisementBoard 2.1299 0.0016 0.0005 0.9962 36.6006 36.8315
canoe 15.3958 0.2988 0.0437 0.6872 20.0752 22.7498
fountain01 7.6688 0.0848 0.0185 0.9037 23.8247 25.1044
fountain02 7.5641 0.0655 0.0090 0.9220 26.6461 27.5456
fall 25.7277 0.3459 0.1142 0.7116 15.2100 16.3388
Video AGE pEPs pCEPS MSSSIM PSNR CQM
O_SM_04 7.5617 0.0431 0.0005 0.9741 28.2693 29.3575
boulevard 5.8660 0.0471 0.0067 0.9699 26.0077 27.1642
I_SM_04 2.9518 0.0204 0.0001 0.9892 32.0202 32.9010
I_MC_02 17.0764 0.2229 0.0959 0.6817 18.2388 19.4674
badminton 2.4174 0.0128 0.0044 0.9729 33.8911 34.5949
O_MC_02 11.0818 0.1446 0.0441 0.8361 22.2112 23.2059
traffic 10.6510 0.1049 0.0560 0.7844 22.1832 23.2801
CMU 5.5770 0.0373 0.0003 0.9895 29.4613 30.1956
sidewalk 24.4800 0.3109 0.1738 0.4297 15.4488 17.2747
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Uturn 1.8919 0.0073 0.0018 0.9890 34.6586 35.3747
CaVignal 1.6097 0.0003 0.0000 0.9962 39.9432 40.3019
office 1.8805 0.0008 0.0000 0.9962 38.4533 38.9116
sofa 1.8481 0.0026 0.0011 0.9943 37.9796 38.1597
copyMachine 3.2885 0.0018 0.0007 0.9818 34.3699 35.1317
tramstop 3.5081 0.0121 0.0002 0.9919 32.8005 33.2894
UCF-traffic 1.9581 0.0115 0.0058 0.9654 32.6626 34.9951
streetCorner 4.3744 0.0096 0.0026 0.9757 31.2134 31.9965
AVSS2007 7.5256 0.0612 0.0458 0.9294 22.3138 23.0990
Teknomo 5.7591 0.0306 0.0062 0.9756 26.4283 27.4451
I_CA_02 2.5258 0.0080 0.0005 0.9922 34.5150 35.3716
Candela_m1.10 2.5455 0.0042 0.0000 0.9950 35.8796 36.2004
I_MB_02 2.6504 0.0034 0.0005 0.9932 35.6318 36.1969
I_MB_01 3.3323 0.0262 0.0217 0.9844 28.6778 29.8878
busStation 3.4057 0.0042 0.0000 0.9821 34.2369 34.8402
I_CA_01 15.4852 0.3165 0.2579 0.9873 23.3012 24.0637
Video AGE pEPs pCEPS MSSSIM PSNR CQM
People&Foliage 12.8187 0.0299 0.0000 0.9919 25.2000 26.0133
boulevardJam 5.0010 0.0526 0.0211 0.9100 28.5787 29.8099
Crowded 5.5936 0.0313 0.0232 0.9609 29.6952 30.6769
tramway 7.8742 0.0563 0.0098 0.9491 25.6102 27.0421
groupCampus 7.8627 0.0749 0.0366 0.9105 26.6410 27.4117
HumanBody2 3.6813 0.0067 0.0001 0.9934 32.8844 33.2154
Board 6.0836 0.0285 0.0077 0.9322 29.2266 30.0739
Foliage 3.3706 0.0063 0.0004 0.9955 33.8737 34.3301
UCF-fishes 1.3423 0.0002 0.0000 0.9750 41.9080 43.8014
ICRA3 2.8535 0.0150 0.0047 0.9816 30.8913 31.3914
IndianTraffic3 1.4831 0.0009 0.0001 0.9918 40.6086 41.3551
Video AGE pEPs pCEPS MSSSIM PSNR CQM
I_IL_01 2.7522 0.0008 0.0002 0.9963 36.5934 37.2375
I_IL_02 2.7671 0.0003 0.0000 0.9959 37.2439 37.7991
Dataset3Camera1 4.5004 0.0117 0.0035 0.9817 32.1044 32.9427
CameraParameter 0.8715 0.0001 0.0000 0.9969 44.3808 44.8928
Dataset3Camera2 2.8098 0.0043 0.0000 0.9913 34.9208 35.5259
cubicle 12.8904 0.1871 0.0769 0.9515 22.7977 23.6672
Video AGE pEPs pCEPS MSSSIM PSNR CQM
PedAndStorrowDrive3 3.4198 0.0157 0.0068 0.9909 30.8428 31.8827
PedAndStorrowDrive 4.7964 0.0285 0.0037 0.9849 29.3097 30.4084
BusStopMorning 5.7245 0.0344 0.0006 0.9856 29.1391 29.8815
Dataset4Camera1 3.0255 0.0066 0.0000 0.9898 34.1414 34.4744
Terrace 2.1409 0.0007 0.0000 0.9855 37.9534 38.3232
Video AGE pEPs pCEPS MSSSIM PSNR CQM
Toscana 2.0516 0.0010 0.0001 0.9912 37.9280 38.1251
CUHK_Square 4.9932 0.0261 0.0009 0.9710 30.2115 30.6559
pedestrians 1.6290 0.0004 0.0000 0.9944 39.4525 39.8764
NoisyNight 5.5039 0.0197 0.0020 0.9241 30.4161 31.3184
peopleInShade 8.8070 0.0156 0.0010 0.9814 28.0341 28.9683
DynamicBackground 7.3760 0.0509 0.0006 0.9637 27.9375 28.6182
snowFall 2.2744 0.0006 0.0001 0.9558 37.5428 37.9613
TwoLeaveShop1cor 15.4562 0.2261 0.1222 0.6429 19.7734 20.4851
MIT 5.2761 0.0373 0.0033 0.9702 28.8029 29.9679
TownCentre 4.4225 0.0092 0.0005 0.9686 32.2965 32.3435