| Contact name | N/A N/A |
| Contact email | none@none.com |
| Contact university/company | Anonymous |
| Method's name | 3-Term Decomposition |
| Reference | Omar Oreifej, Xin Li, Mubarak Shah, "Simultaneous Video Stabilization and Moving Object Detection in Turbulence", T-PAMI, 2012 |
| Processing time | N/A |
| Code is available online | True |
| Web page | http://vision.eecs.ucf.edu/projects/Turbulence/ |
| Parameters |
params.inner_tol = 1e-6 ;params.maxIter = 1000 ; params.mu = 1e-3 ; params.tauc = 100*.04 ;
|
You can download the background estimation results of this method by clicking here.
| PETS2006 |
2.5376 |
0.0042 |
0.0025 |
0.9874 |
36.0660 |
36.4662 |
| I_SI_01 |
2.5734 |
0.0023 |
0.0003 |
0.9937 |
36.7597 |
37.1697 |
| MPEG4_40 |
2.7447 |
0.0061 |
0.0004 |
0.9859 |
35.0875 |
35.8209 |
| CamouflageFgObjects |
3.3573 |
0.0039 |
0.0000 |
0.9902 |
34.2495 |
34.6429 |
| IntelligentRoom |
3.4812 |
0.0072 |
0.0003 |
0.9905 |
33.5149 |
33.9501 |
| Blurred |
4.1983 |
0.0274 |
0.0227 |
0.9134 |
26.5553 |
27.4180 |
| 511 |
4.5805 |
0.0430 |
0.0009 |
0.9665 |
28.3596 |
30.3191 |
| highway |
5.1733 |
0.0380 |
0.0054 |
0.9744 |
28.1814 |
29.2767 |
| ComplexBackground |
5.3289 |
0.0194 |
0.0014 |
0.9868 |
29.9861 |
30.6672 |
| Hybrid |
5.4015 |
0.0142 |
0.0001 |
0.9857 |
31.0285 |
31.5047 |
| IPPR2 |
6.0298 |
0.0294 |
0.0156 |
0.9038 |
27.9538 |
28.3586 |
| Intersection |
13.1096 |
0.0490 |
0.0034 |
0.9533 |
25.2161 |
26.3680 |
| streetCornerAtNight |
13.2972 |
0.1273 |
0.0637 |
0.8967 |
23.7163 |
25.6061 |
| fluidHighway |
13.6577 |
0.2456 |
0.2106 |
0.8207 |
22.2668 |
22.2005 |
| skating |
28.6695 |
0.4441 |
0.3712 |
0.8939 |
15.7607 |
17.4430 |
| wetSnow |
34.0749 |
0.8592 |
0.7850 |
0.9305 |
16.9938 |
18.2000 |
| advertisementBoard |
2.5404 |
0.0077 |
0.0044 |
0.9803 |
32.8019 |
33.4292 |
| fountain01 |
5.8259 |
0.0584 |
0.0166 |
0.9258 |
25.6140 |
26.8292 |
| fountain02 |
7.3322 |
0.0618 |
0.0056 |
0.9305 |
27.0586 |
27.8351 |
| overpass |
9.8450 |
0.1253 |
0.0115 |
0.8645 |
24.6962 |
25.5132 |
| canoe |
14.7184 |
0.2524 |
0.0350 |
0.6950 |
21.1951 |
22.1125 |
| fall |
23.6837 |
0.3398 |
0.1285 |
0.7422 |
16.1013 |
17.1121 |
| I_SM_04 |
4.0125 |
0.0267 |
0.0005 |
0.9886 |
30.7120 |
31.6663 |
| CMU |
5.0006 |
0.0237 |
0.0001 |
0.9917 |
30.7230 |
31.3871 |
| O_SM_04 |
9.8840 |
0.0703 |
0.0027 |
0.9698 |
26.4010 |
27.6170 |
| boulevard |
13.0434 |
0.1799 |
0.0376 |
0.8437 |
19.7941 |
21.2562 |
| badminton |
13.9589 |
0.1397 |
0.0784 |
0.6568 |
21.6729 |
22.6541 |
| traffic |
14.2856 |
0.1249 |
0.0463 |
0.8660 |
23.1032 |
24.1594 |
| I_MC_02 |
16.4848 |
0.2123 |
0.0849 |
0.6860 |
18.4954 |
19.7237 |
| O_MC_02 |
16.7205 |
0.2340 |
0.1091 |
0.6594 |
19.0094 |
19.8762 |
| sidewalk |
19.8388 |
0.2527 |
0.1197 |
0.5876 |
16.8919 |
18.6359 |
| CaVignal |
1.7540 |
0.0004 |
0.0000 |
0.9947 |
39.3213 |
39.8087 |
| office |
1.7668 |
0.0006 |
0.0000 |
0.9966 |
38.8477 |
39.3562 |
| tramstop |
2.3751 |
0.0059 |
0.0005 |
0.9932 |
34.6344 |
35.1212 |
| sofa |
5.0030 |
0.0347 |
0.0251 |
0.9217 |
24.7279 |
25.9234 |
| I_MB_02 |
5.0869 |
0.0372 |
0.0268 |
0.9595 |
28.1356 |
29.0431 |
| Candela_m1.10 |
5.4583 |
0.0469 |
0.0270 |
0.9218 |
24.9062 |
25.5697 |
| Teknomo |
6.7304 |
0.0473 |
0.0120 |
0.9744 |
25.7110 |
26.7310 |
| I_CA_02 |
7.4099 |
0.0622 |
0.0410 |
0.9118 |
24.6881 |
25.2609 |
| busStation |
7.8871 |
0.0712 |
0.0367 |
0.8775 |
21.6541 |
22.7195 |
| streetCorner |
8.0423 |
0.0589 |
0.0150 |
0.9343 |
25.5583 |
26.5366 |
| I_MB_01 |
9.2439 |
0.0658 |
0.0470 |
0.9098 |
23.0226 |
23.6713 |
| copyMachine |
10.7721 |
0.0984 |
0.0629 |
0.8968 |
23.2380 |
24.6917 |
| AVSS2007 |
11.8922 |
0.1092 |
0.0903 |
0.8269 |
18.9624 |
20.0330 |
| I_CA_01 |
15.3444 |
0.2777 |
0.2130 |
0.9373 |
23.0112 |
23.5671 |
| Uturn |
21.1712 |
0.5756 |
0.3514 |
0.9556 |
20.6282 |
21.6953 |
| UCF-traffic |
30.4644 |
0.9199 |
0.8116 |
0.9294 |
18.1739 |
20.7145 |
| UCF-fishes |
1.5770 |
0.0057 |
0.0023 |
0.9522 |
36.9001 |
39.2032 |
| IndianTraffic3 |
2.2102 |
0.0133 |
0.0085 |
0.9772 |
34.5962 |
35.8728 |
| Crowded |
5.5936 |
0.0313 |
0.0232 |
0.9609 |
29.6952 |
30.6769 |
| HumanBody2 |
7.6305 |
0.0426 |
0.0219 |
0.9412 |
23.2613 |
24.2450 |
| tramway |
12.4004 |
0.1381 |
0.0460 |
0.8306 |
20.3881 |
22.0209 |
| ICRA3 |
17.4141 |
0.1151 |
0.0981 |
0.7305 |
14.2455 |
15.5024 |
| groupCampus |
17.4599 |
0.2700 |
0.1703 |
0.7117 |
19.3456 |
20.0893 |
| Foliage |
23.2170 |
0.3765 |
0.2294 |
0.7557 |
17.7346 |
18.3381 |
| Board |
28.0741 |
0.4314 |
0.2917 |
-0.2983 |
15.9523 |
17.2030 |
| boulevardJam |
32.6816 |
0.7634 |
0.5437 |
0.6460 |
16.1893 |
17.6362 |
| People&Foliage |
48.4637 |
0.5621 |
0.4502 |
0.4588 |
10.9827 |
11.9989 |
| I_IL_02 |
4.8841 |
0.0225 |
0.0128 |
0.9667 |
26.1059 |
26.7514 |
| I_IL_01 |
8.9544 |
0.0245 |
0.0049 |
0.9753 |
27.6702 |
28.6115 |
| Dataset3Camera1 |
13.2146 |
0.2634 |
0.1370 |
0.9634 |
23.5982 |
24.6714 |
| Dataset3Camera2 |
13.6527 |
0.3344 |
0.1741 |
0.9654 |
22.5447 |
23.9813 |
| cubicle |
14.8631 |
0.1754 |
0.1272 |
0.9009 |
18.1563 |
19.2991 |
| CameraParameter |
47.4125 |
0.8389 |
0.7229 |
0.9095 |
13.7359 |
15.0900 |
| Dataset4Camera1 |
3.1260 |
0.0114 |
0.0057 |
0.9835 |
30.8220 |
31.0060 |
| PedAndStorrowDrive |
3.7478 |
0.0138 |
0.0030 |
0.9900 |
30.7700 |
31.8532 |
| PedAndStorrowDrive3 |
3.9148 |
0.0219 |
0.0098 |
0.9883 |
29.5314 |
30.6425 |
| BusStopMorning |
5.7379 |
0.0310 |
0.0008 |
0.9866 |
28.9332 |
29.7256 |
| Terrace |
21.5109 |
0.4761 |
0.2763 |
0.8116 |
18.9292 |
20.0694 |
| pedestrians |
1.6290 |
0.0004 |
0.0000 |
0.9944 |
39.4525 |
39.8764 |
| peopleInShade |
2.9878 |
0.0002 |
0.0000 |
0.9901 |
36.3845 |
36.8796 |
| TownCentre |
3.5764 |
0.0075 |
0.0006 |
0.9745 |
33.5107 |
34.0177 |
| TwoLeaveShop1cor |
4.0503 |
0.0246 |
0.0148 |
0.9441 |
28.8082 |
29.4246 |
| NoisyNight |
5.6905 |
0.0152 |
0.0006 |
0.9340 |
30.4502 |
31.2900 |
| MIT |
5.7846 |
0.0465 |
0.0041 |
0.9645 |
28.1498 |
29.3104 |
| CUHK_Square |
6.2694 |
0.0356 |
0.0013 |
0.9652 |
28.9521 |
29.4212 |
| DynamicBackground |
8.4942 |
0.0739 |
0.0026 |
0.9604 |
26.8945 |
27.6328 |
| Toscana |
8.7324 |
0.0593 |
0.0314 |
0.8905 |
22.4683 |
23.3433 |
| snowFall |
30.7158 |
0.7562 |
0.7248 |
0.8883 |
17.5819 |
18.7702 |