Contact nameOzan Tezcan
Contact emailmtezcan@bu.edu
Contact university/companyBoston University
Method's nameBSUV-Net (supervised method)
ReferenceM. O. Tezcan, P. Ishwar and J. Konrad. "BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos." arXiv preprint arXiv:1907.11371 (2019).
Processing time~6 fps for 320x240 video with Pytorch1.3 code running on NVIDIA Titan-X GPU
Web pagehttps://github.com/ozantezcan/BSUV-Net-A-Fully-Convolutional-Neural-Network-for-Background-Subtraction-of-Unseen-Videos
Parameters batch size: 8, learning rate: 1e-4, training input size:224x224

You can download the change detection results of this method by clicking here.

Video TP FP FN TN Nb Shadow Error
pedestrians 650517 10921 20345 67558186 1
PETS2006 4654538 295593 173652 366417711 0
highway 5393043 114815 64946 86539654 95502
office 8541923 520089 100171 116018597 0
Video TP FP FN TN Nb Shadow Error
fountain01 73381 281913 4122 93001142 0
fountain02 205423 59054 61806 123903277 0
canoe 939041 76492 104328 28343229 0
boats 1546723 338072 4128 245381547 217
overpass 1973414 339871 4478 145302890 10958
fall 17708344 1781633 629653 1015008274 16820
Video TP FP FN TN Nb Shadow Error
sidewalk 201457 113013 61772 9719579 653
traffic 2776813 1090421 383943 46523285 257867
badminton 4053469 3035029 44838 112393313 0
boulevard 4508722 192506 982000 111292193 0
Video TP FP FN TN Nb Shadow Error
streetLight 94078 11661 610867 13814336 0
parking 188298 540 37093 2688650 0
winterDriveway 533652 35419 157718 91624810 12061
abandonedBox 710286 75467 38518 14745962 9340
tramstop 776565 9470 669646 6603369 83
sofa 6335084 518802 1053596 161310096 0
Video TP FP FN TN Nb Shadow Error
backdoor 2002462 103387 22135 99724400 0
busStation 2778832 183807 172377 76831695 44270
peopleInShade 4878906 1021232 26450 80979428 449988
bungalows 5016967 111799 139821 80727919 88978
cubicle 9445580 826211 929613 517076564 208894
copyMachine 52789560 4594217 15944105 918708325 0
Video TP FP FN TN Nb Shadow Error
park 670818 105161 44319 34389979 0
lakeSide 5334388 778062 2638693 407380352 0
corridor 11813105 4141206 527052 355845819 0
diningRoom 17112010 945761 2352287 206238506 0
library 57369032 10112422 4592233 249368093 0
Video TP FP FN TN Nb Shadow Error
wetSnow 10607615 1601529 3408251 918037985 0
blizzard 17282060 631997 6980120 2079527339 0
snowFall 19554983 1418836 1167200 1945661852 696423
skating 21253462 1231900 2519356 573369017 110
Video TP FP FN TN Nb Shadow Error
port_0_17fps 33875 7470937 23307 300629800 0
tramCrossroad_1fps 674499 29880 63084 24879509 0
turnpike_0_5fps 2420206 48274 430890 46143093 0
tunnelExit_0_35fps 5944641 804618 1057683 350661204 0
Video TP FP FN TN Nb Shadow Error
bridgeEntry 888003 323163 761943 80676592 0
busyBoulvard 2504291 237034 3084400 60178237 0
fluidHighway 2616306 1400022 1322216 220044061 62909
streetCornerAtNight 3509472 337570 421255 627160666 0
winterStreet 4325656 500845 4973657 125195259 0
tramStation 4823850 1016412 1432478 177113002 0
Video TP FP FN TN Nb Shadow Error
zoomInZoomOut 84945 19052 4359 48163284 727
twoPositionPTZCam 1561231 201223 47293 135812920 98129
intermittentPan 1734011 1599605 2270497 421422436 0
continuousPan 1798350 11424370 285341 358102244 3565
Video TP FP FN TN Nb Shadow Error
turbulence2 520268 46465 157107 811537285 0
turbulence0 1244700 2358810 775763 1377101962 0
turbulence1 1546220 645111 929685 963050747 0
turbulence3 4780034 257271 1060806 478358744 0