Contact name | Benjamin Laugraud |
Contact email | [email protected] |
Contact university/company | University of Liège |
Method's name | LaBGen-P-Semantic (CV+U) |
Reference | B. Laugraud, S. Piérard, M. Van Droogenbroeck « LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation », MDPI Journal of Imaging, Volume 4, Issue 7, 25 June 2018 (http://www.mdpi.com/2313-433X/4/7/86) |
Processing time | TBD |
Code is available online | False |
Web page | http://www.telecom.ulg.ac.be/labgen |
Parameters |
N = 4, S = 90, S_short = 3
|
You can download the background estimation results of this method by clicking here.
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
skating |
7.0329 |
0.0590 |
0.0185 |
0.9345 |
25.0179 |
26.4241 |
wetSnow |
2.2612 |
0.0006 |
0.0000 |
0.9843 |
38.0903 |
38.4415 |
streetCornerAtNight |
3.3804 |
0.0020 |
0.0006 |
0.9799 |
34.6943 |
35.8121 |
Hybrid |
4.6355 |
0.0105 |
0.0001 |
0.9859 |
31.9297 |
32.3757 |
511 |
3.7966 |
0.0296 |
0.0005 |
0.9754 |
30.1795 |
31.8026 |
Blurred |
1.2055 |
0.0000 |
0.0000 |
0.9984 |
42.9524 |
43.0070 |
CamouflageFgObjects |
3.4028 |
0.0153 |
0.0088 |
0.9781 |
29.8718 |
30.4615 |
IntelligentRoom |
3.1824 |
0.0072 |
0.0030 |
0.9884 |
31.7091 |
32.3833 |
PETS2006 |
2.1174 |
0.0023 |
0.0014 |
0.9904 |
34.8369 |
35.5818 |
IPPR2 |
4.4930 |
0.0040 |
0.0001 |
0.9742 |
32.7239 |
32.7934 |
MPEG4_40 |
3.1630 |
0.0130 |
0.0012 |
0.9817 |
32.9384 |
33.7534 |
ComplexBackground |
5.8314 |
0.0229 |
0.0015 |
0.9859 |
29.5327 |
30.2083 |
fluidHighway |
9.8990 |
0.0581 |
0.0422 |
0.9330 |
25.2376 |
25.2728 |
Intersection |
2.3780 |
0.0009 |
0.0000 |
0.9904 |
37.4376 |
37.9244 |
I_SI_01 |
1.9894 |
0.0016 |
0.0002 |
0.9954 |
39.0095 |
39.4260 |
highway |
3.4362 |
0.0183 |
0.0009 |
0.9844 |
30.6409 |
31.5742 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
overpass |
8.5003 |
0.1045 |
0.0106 |
0.8785 |
25.0270 |
26.0903 |
canoe |
12.4806 |
0.2255 |
0.0214 |
0.7080 |
22.0724 |
24.4021 |
advertisementBoard |
1.4856 |
0.0000 |
0.0000 |
0.9970 |
41.5943 |
41.5910 |
fountain01 |
5.6008 |
0.0546 |
0.0112 |
0.9368 |
26.4166 |
27.5932 |
fountain02 |
6.4647 |
0.0466 |
0.0019 |
0.9486 |
28.5772 |
29.4231 |
fall |
18.6026 |
0.2678 |
0.0764 |
0.8093 |
17.9312 |
18.9650 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
O_SM_04 |
5.9793 |
0.0436 |
0.0008 |
0.9672 |
28.8518 |
29.9007 |
boulevard |
12.5159 |
0.1647 |
0.0354 |
0.8518 |
19.5399 |
20.9578 |
I_SM_04 |
3.2864 |
0.0289 |
0.0004 |
0.9882 |
31.0136 |
31.8636 |
I_MC_02 |
14.6825 |
0.1839 |
0.0735 |
0.7495 |
18.9847 |
20.1772 |
badminton |
2.9674 |
0.0237 |
0.0088 |
0.9549 |
32.1294 |
32.8211 |
traffic |
7.1163 |
0.0665 |
0.0404 |
0.9065 |
27.3637 |
28.2668 |
O_MC_02 |
12.8844 |
0.1742 |
0.0642 |
0.7558 |
20.5036 |
21.3098 |
sidewalk |
22.5203 |
0.2860 |
0.1611 |
0.4761 |
15.9149 |
17.6401 |
CMU |
4.3573 |
0.0241 |
0.0001 |
0.9921 |
30.9712 |
31.6587 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
Uturn |
2.5459 |
0.0038 |
0.0015 |
0.9924 |
34.1556 |
34.7020 |
CaVignal |
1.6070 |
0.0004 |
0.0000 |
0.9962 |
40.1094 |
40.3455 |
office |
10.1463 |
0.1147 |
0.0301 |
0.9880 |
26.0886 |
27.3046 |
sofa |
2.3187 |
0.0021 |
0.0008 |
0.9951 |
37.5525 |
37.7515 |
copyMachine |
4.3472 |
0.0082 |
0.0011 |
0.9819 |
32.5341 |
33.3792 |
tramstop |
2.5748 |
0.0030 |
0.0001 |
0.9951 |
36.0544 |
36.4578 |
UCF-traffic |
2.1762 |
0.0138 |
0.0068 |
0.9624 |
31.3294 |
33.7231 |
streetCorner |
5.0651 |
0.0171 |
0.0072 |
0.9776 |
28.9420 |
29.8897 |
AVSS2007 |
7.1867 |
0.0628 |
0.0490 |
0.9330 |
23.5443 |
24.2257 |
I_CA_01 |
2.0698 |
0.0003 |
0.0000 |
0.9934 |
38.8904 |
38.7785 |
I_CA_02 |
2.6523 |
0.0037 |
0.0001 |
0.9943 |
36.0951 |
36.6823 |
Candela_m1.10 |
2.0316 |
0.0005 |
0.0000 |
0.9968 |
38.2867 |
38.1970 |
I_MB_02 |
5.4173 |
0.0322 |
0.0219 |
0.9385 |
23.6874 |
24.8446 |
Teknomo |
5.9014 |
0.0403 |
0.0079 |
0.9711 |
26.1115 |
27.1352 |
I_MB_01 |
1.8747 |
0.0000 |
0.0000 |
0.9968 |
39.9314 |
40.3823 |
busStation |
3.0110 |
0.0074 |
0.0045 |
0.9832 |
32.7761 |
33.5290 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
People&Foliage |
5.3043 |
0.0242 |
0.0139 |
0.9479 |
25.0906 |
25.5686 |
tramway |
7.3004 |
0.0634 |
0.0264 |
0.9190 |
22.7384 |
24.2881 |
Crowded |
7.9765 |
0.0527 |
0.0390 |
0.9578 |
27.7214 |
28.9686 |
groupCampus |
8.0016 |
0.0802 |
0.0432 |
0.9187 |
26.9556 |
27.7670 |
IndianTraffic3 |
2.3862 |
0.0097 |
0.0056 |
0.9747 |
35.2559 |
36.2835 |
boulevardJam |
3.0595 |
0.0124 |
0.0019 |
0.9722 |
32.6526 |
33.7308 |
HumanBody2 |
3.0086 |
0.0044 |
0.0002 |
0.9957 |
34.4297 |
34.7648 |
Board |
5.2070 |
0.0140 |
0.0020 |
0.9476 |
30.8524 |
31.7249 |
Foliage |
18.3207 |
0.3091 |
0.1881 |
0.6288 |
18.4931 |
18.8523 |
ICRA3 |
4.6229 |
0.0659 |
0.0464 |
0.9686 |
28.1563 |
28.9192 |
UCF-fishes |
0.9298 |
0.0000 |
0.0000 |
0.9923 |
46.0781 |
47.1492 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
I_IL_01 |
6.4614 |
0.0439 |
0.0310 |
0.9703 |
28.2447 |
29.0790 |
I_IL_02 |
11.1557 |
0.1314 |
0.0906 |
0.9415 |
23.2846 |
24.0819 |
Dataset3Camera1 |
23.4863 |
0.3417 |
0.2742 |
0.7946 |
16.8073 |
18.0838 |
CameraParameter |
19.4513 |
0.1349 |
0.1150 |
0.7570 |
14.0744 |
15.6274 |
Dataset3Camera2 |
17.6080 |
0.2500 |
0.1734 |
0.8828 |
18.1375 |
19.8483 |
cubicle |
6.9155 |
0.0780 |
0.0447 |
0.9655 |
26.7102 |
27.5616 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
PedAndStorrowDrive3 |
2.6692 |
0.0113 |
0.0055 |
0.9926 |
31.9928 |
32.9344 |
PedAndStorrowDrive |
20.5165 |
0.4140 |
0.2056 |
0.8011 |
19.1678 |
20.7057 |
BusStopMorning |
5.0138 |
0.0241 |
0.0007 |
0.9861 |
29.8125 |
30.4199 |
Terrace |
7.3307 |
0.0436 |
0.0317 |
0.9700 |
27.7356 |
28.3690 |
Dataset4Camera1 |
5.6439 |
0.0124 |
0.0007 |
0.9887 |
30.2617 |
31.0047 |
Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
Toscana |
4.9757 |
0.0568 |
0.0386 |
0.9395 |
27.1999 |
27.9354 |
pedestrians |
1.8709 |
0.0003 |
0.0000 |
0.9949 |
39.1292 |
39.4652 |
DynamicBackground |
7.7244 |
0.0630 |
0.0019 |
0.9549 |
27.2266 |
27.8328 |
peopleInShade |
5.5906 |
0.0047 |
0.0000 |
0.9844 |
31.0942 |
31.8184 |
MIT |
5.4808 |
0.0441 |
0.0036 |
0.9666 |
28.3666 |
29.5081 |
snowFall |
2.4292 |
0.0006 |
0.0000 |
0.9585 |
37.5376 |
37.9439 |
TownCentre |
3.5194 |
0.0087 |
0.0017 |
0.9723 |
33.1175 |
33.5093 |
CUHK_Square |
4.8656 |
0.0326 |
0.0018 |
0.9686 |
29.7139 |
30.2489 |
NoisyNight |
5.5480 |
0.0228 |
0.0025 |
0.9185 |
29.9890 |
30.9320 |
TwoLeaveShop1cor |
3.4457 |
0.0114 |
0.0063 |
0.9709 |
30.6982 |
31.1027 |