| Contact name | Benjamin Laugraud |
| Contact email | [email protected] |
| Contact university/company | University of Liège |
| Method's name | LaBGen-P-Semantic (MP+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 |
7.2718 |
0.0609 |
0.0228 |
0.9310 |
23.6526 |
25.1202 |
| wetSnow |
2.2146 |
0.0005 |
0.0000 |
0.9853 |
38.3593 |
38.7034 |
| streetCornerAtNight |
3.3804 |
0.0020 |
0.0006 |
0.9799 |
34.6943 |
35.8121 |
| Hybrid |
4.6433 |
0.0110 |
0.0000 |
0.9861 |
31.8847 |
32.3501 |
| 511 |
4.1386 |
0.0376 |
0.0019 |
0.9621 |
29.0478 |
30.7993 |
| Blurred |
1.2149 |
0.0000 |
0.0000 |
0.9984 |
42.9264 |
42.9890 |
| CamouflageFgObjects |
3.3552 |
0.0147 |
0.0073 |
0.9771 |
29.9965 |
30.5590 |
| IntelligentRoom |
3.1492 |
0.0065 |
0.0026 |
0.9896 |
32.4336 |
33.0559 |
| PETS2006 |
1.9743 |
0.0024 |
0.0015 |
0.9899 |
34.8111 |
35.5647 |
| IPPR2 |
4.2937 |
0.0031 |
0.0000 |
0.9750 |
33.1061 |
33.1538 |
| MPEG4_40 |
2.8525 |
0.0112 |
0.0010 |
0.9836 |
33.6213 |
34.4065 |
| ComplexBackground |
5.8314 |
0.0229 |
0.0015 |
0.9859 |
29.5327 |
30.2083 |
| fluidHighway |
9.3044 |
0.0562 |
0.0407 |
0.9308 |
25.4668 |
25.5160 |
| Intersection |
2.3825 |
0.0009 |
0.0000 |
0.9904 |
37.4382 |
37.9243 |
| I_SI_01 |
1.9894 |
0.0016 |
0.0002 |
0.9954 |
39.0095 |
39.4260 |
| highway |
4.7072 |
0.0184 |
0.0008 |
0.9689 |
29.9664 |
30.9190 |
| Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
| overpass |
8.5509 |
0.1032 |
0.0099 |
0.8773 |
25.0596 |
26.1033 |
| canoe |
12.7278 |
0.2268 |
0.0220 |
0.7067 |
21.9960 |
24.3290 |
| advertisementBoard |
1.5156 |
0.0000 |
0.0000 |
0.9970 |
41.4472 |
41.4719 |
| fountain01 |
5.6145 |
0.0548 |
0.0114 |
0.9366 |
26.4004 |
27.5752 |
| fountain02 |
6.3804 |
0.0432 |
0.0018 |
0.9514 |
28.8026 |
29.6380 |
| fall |
17.7603 |
0.2632 |
0.0683 |
0.8138 |
18.4945 |
19.5544 |
| Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
| O_SM_04 |
6.2739 |
0.0496 |
0.0013 |
0.9637 |
28.2878 |
29.3627 |
| boulevard |
11.1637 |
0.1466 |
0.0281 |
0.8619 |
20.4535 |
21.8627 |
| 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 |
4.2019 |
0.0457 |
0.0211 |
0.9163 |
29.5446 |
30.3807 |
| traffic |
6.8227 |
0.0877 |
0.0517 |
0.8769 |
26.8971 |
27.8412 |
| O_MC_02 |
12.8844 |
0.1742 |
0.0642 |
0.7558 |
20.5036 |
21.3098 |
| sidewalk |
21.8206 |
0.2769 |
0.1513 |
0.5076 |
16.0622 |
17.7804 |
| CMU |
4.2802 |
0.0220 |
0.0001 |
0.9924 |
31.2813 |
31.9507 |
| Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
| Uturn |
2.5936 |
0.0044 |
0.0017 |
0.9920 |
33.8054 |
34.3803 |
| CaVignal |
1.5677 |
0.0004 |
0.0000 |
0.9963 |
40.3085 |
40.5328 |
| office |
10.1458 |
0.1118 |
0.0301 |
0.9882 |
26.0969 |
27.3023 |
| sofa |
2.1082 |
0.0031 |
0.0016 |
0.9945 |
37.5222 |
37.7290 |
| copyMachine |
4.3468 |
0.0061 |
0.0007 |
0.9838 |
32.9092 |
33.7129 |
| tramstop |
2.9752 |
0.0037 |
0.0000 |
0.9944 |
35.3219 |
35.7610 |
| UCF-traffic |
2.9063 |
0.0291 |
0.0135 |
0.9331 |
28.9400 |
30.9500 |
| streetCorner |
5.2375 |
0.0196 |
0.0080 |
0.9771 |
28.6678 |
29.5992 |
| AVSS2007 |
8.2570 |
0.0669 |
0.0522 |
0.9251 |
22.1736 |
22.9253 |
| I_CA_01 |
2.0256 |
0.0003 |
0.0000 |
0.9935 |
38.9956 |
38.8598 |
| I_CA_02 |
2.6852 |
0.0037 |
0.0001 |
0.9943 |
36.0293 |
36.6185 |
| Candela_m1.10 |
2.0556 |
0.0006 |
0.0000 |
0.9967 |
38.2491 |
38.1017 |
| I_MB_02 |
5.3275 |
0.0316 |
0.0217 |
0.9388 |
23.7105 |
24.8725 |
| Teknomo |
5.5800 |
0.0270 |
0.0051 |
0.9749 |
27.1642 |
28.1308 |
| I_MB_01 |
2.6293 |
0.0137 |
0.0109 |
0.9852 |
31.3465 |
32.3302 |
| busStation |
3.1694 |
0.0069 |
0.0040 |
0.9830 |
33.0166 |
33.7322 |
| Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
| People&Foliage |
5.5139 |
0.0271 |
0.0155 |
0.9428 |
24.6033 |
25.0953 |
| tramway |
6.6091 |
0.0516 |
0.0205 |
0.9424 |
23.4495 |
24.9552 |
| Crowded |
8.0210 |
0.0528 |
0.0381 |
0.9576 |
27.7062 |
28.9469 |
| groupCampus |
8.0688 |
0.0809 |
0.0426 |
0.9162 |
26.8556 |
27.6178 |
| IndianTraffic3 |
2.2119 |
0.0084 |
0.0046 |
0.9764 |
35.9008 |
36.9358 |
| boulevardJam |
4.4669 |
0.0197 |
0.0029 |
0.9682 |
30.5136 |
31.6963 |
| HumanBody2 |
2.9962 |
0.0044 |
0.0001 |
0.9958 |
34.4200 |
34.7611 |
| Board |
5.1299 |
0.0142 |
0.0019 |
0.9471 |
30.9073 |
31.7815 |
| Foliage |
19.1270 |
0.3227 |
0.1962 |
0.6111 |
18.3869 |
18.7243 |
| ICRA3 |
4.2839 |
0.0481 |
0.0351 |
0.9692 |
28.0808 |
28.8735 |
| UCF-fishes |
0.9153 |
0.0000 |
0.0000 |
0.9924 |
46.2121 |
47.2416 |
| 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 |
10.9368 |
0.1576 |
0.1086 |
0.9234 |
23.2082 |
23.9709 |
| Dataset3Camera1 |
24.8732 |
0.3544 |
0.2778 |
0.7830 |
16.3843 |
17.6502 |
| CameraParameter |
44.1677 |
0.3267 |
0.2869 |
0.6173 |
10.0680 |
11.5983 |
| Dataset3Camera2 |
17.6197 |
0.2733 |
0.1829 |
0.8641 |
18.4939 |
20.0830 |
| cubicle |
7.0210 |
0.0895 |
0.0521 |
0.9671 |
26.4764 |
27.3616 |
| Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
| PedAndStorrowDrive3 |
2.4035 |
0.0062 |
0.0003 |
0.9955 |
35.1654 |
35.7994 |
| PedAndStorrowDrive |
21.1985 |
0.4247 |
0.1977 |
0.7877 |
18.8870 |
20.4386 |
| BusStopMorning |
4.8388 |
0.0200 |
0.0003 |
0.9875 |
30.4883 |
31.0707 |
| Terrace |
7.0261 |
0.0348 |
0.0157 |
0.9624 |
28.2188 |
28.9849 |
| Dataset4Camera1 |
5.9753 |
0.0147 |
0.0008 |
0.9869 |
29.6640 |
30.4475 |
| Video |
AGE |
pEPs |
pCEPS |
MSSSIM |
PSNR |
CQM |
| Toscana |
5.1940 |
0.0615 |
0.0427 |
0.9357 |
26.9367 |
27.6846 |
| pedestrians |
1.9103 |
0.0003 |
0.0000 |
0.9946 |
38.9305 |
39.2671 |
| DynamicBackground |
7.6144 |
0.0593 |
0.0018 |
0.9546 |
27.3381 |
27.9300 |
| peopleInShade |
6.7271 |
0.0204 |
0.0039 |
0.9784 |
29.4185 |
30.1827 |
| MIT |
5.5931 |
0.0469 |
0.0042 |
0.9642 |
28.0767 |
29.2308 |
| snowFall |
2.4236 |
0.0006 |
0.0001 |
0.9595 |
37.3429 |
37.7467 |
| TownCentre |
3.5851 |
0.0107 |
0.0028 |
0.9689 |
32.7106 |
33.1077 |
| CUHK_Square |
5.0770 |
0.0367 |
0.0026 |
0.9662 |
29.3698 |
29.8913 |
| NoisyNight |
5.5630 |
0.0244 |
0.0029 |
0.9195 |
29.8699 |
30.8177 |
| TwoLeaveShop1cor |
3.4875 |
0.0119 |
0.0062 |
0.9708 |
30.6585 |
31.0684 |