{"id":6862,"date":"2019-05-15T17:34:09","date_gmt":"2019-05-15T08:34:09","guid":{"rendered":"http:\/\/www.gisdeveloper.co.kr\/?p=6862"},"modified":"2020-05-28T10:33:48","modified_gmt":"2020-05-28T01:33:48","slug":"python%ea%b3%bc-opencv-37-%eb%b0%b0%ea%b2%bd-%eb%b9%bc%eb%83%84","status":"publish","type":"post","link":"http:\/\/www.gisdeveloper.co.kr\/?p=6862","title":{"rendered":"Python\uacfc OpenCV \u2013 42 : \ubc30\uacbd \ube7c\ub0c4"},"content":{"rendered":"

\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_video\/py_bg_subtraction\/py_bg_subtraction.html \uc785\ub2c8\ub2e4.<\/p>\n

\ubc30\uacbd \ube7c\ub0c4(Background Subtraction)\uc740 \ub9ce\uc740 \ube44\uc804(Vision) \uae30\ubc18\uc758 \uc5b4\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uc911\uc694\ud55c \ucc98\ub9ac\uc785\ub2c8\ub2e4. \uc608\ub97c\ub4e4\uc5b4\uc11c, \uace0\uc815 \uce74\uba54\ub77c\uc5d0\uc11c \ucc0d\uc740 \uc601\uc0c1\uc744 \ud1b5\ud574 \uba87\uba85\uc758 \ubc29\ubb38\uc790\uac00 \ubc29\uc744 \ub4e4\uc5b4\uac00\uace0 \ub098\uc654\ub294\uc9c0\uc758 \ud69f\uc218\ub97c \uc13c\ub2e4\uac70\ub098, \uad50\ud1b5 \uce74\uba54\ub77c\uc5d0\uc11c \ucc0d\uc740 \uc601\uc0c1\uc5d0\uc11c \ucc28\ub7c9\uc758 \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\ub294 \uacbd\uc6b0 \ub4f1\uc785\ub2c8\ub2e4. \uc774\ub7f0 \ubaa8\ub4e0 \uacbd\uc6b0\uc5d0, \uc0ac\ub78c\uc774\ub098 \ucc28\ub7c9\uc744 \ucd94\ucd9c\ud574\uc57c \ud569\ub2c8\ub2e4. \uae30\uc220\uc801\uc73c\ub85c \ubcc0\ud558\uc9c0 \uc54a\ub294 \ubc30\uacbd\uc5d0\uc11c \uc6c0\uc9c1\uc774\ub294 \uc804\uacbd\uc744 \ucd94\ucd9c\ud560 \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

\ub9cc\uc57d \ubc30\uacbd\ub9cc \uac00\uc9c4 \uc774\ubbf8\uc9c0\ub77c\uba74, \uc989 \ubc29\ubb38\uc790\ub098 \ucc28\ub7c9\uc774 \uc804\ud600 \uc5c6\ub294 \ubc29\uc774\ub098 \ub3c4\ub85c\ub77c\uba74, \uc774\uac83\uc740 \uc26c\uc6b4 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub300\ubd80\ubd84\uc758 \uacbd\uc6b0\uc5d0, \uc774\ub807\uc9c0 \uc54a\uc73c\ubbc0\ub85c \uc5b4\ub5a4 \uc774\ubbf8\uc9c0\ub4e0 \ubc30\uacbd\uc744 \ucd94\ucd9c\ud560 \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ub9cc\uc57d \uadf8\ub9bc\uc790\uae4c\uc9c0 \uace0\ub824\ud55c\ub2e4\uba74 \uc880\ub354 \ubcf5\uc7a1\ud574 \uc9d1\ub2c8\ub2e4. \uc774\ub3d9\ud558\ub294 \uadf8\ub9bc\uc790\ub85c \uc778\ud574 \ubc30\uacbd\uc744 \uc804\uacbd\uc73c\ub85c \uac04\uc8fc\ub420 \uc218 \uc788\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/p>\n

\uba87\uac00\uc9c0 \uc54c\uace0\ub9ac\uc998\uc744 \uc774\ub7f0 \ubaa9\uc801\uc744 \uc704\ud574 \uc18c\uac1c\ud569\ub2c8\ub2e4. OpenCV\uc5d0\uc11c\ub294 3\uac00\uc9c0 \uc54c\uace0\ub9ac\uc998\uc744 \uad6c\ud604\ud558\uc600\uc73c\uba70, \uc0ac\uc6a9\ud558\uae30 \uc27d\uac8c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ud558\ub098\uc529 \uc0b4\ud3b4\ubcf4\uba74..<\/p>\n

\uba3c\uc800 BackgroundSubtractorMOG \uc54c\uace0\ub9ac\uc998\uc73c\ub85c,\uac00\uc6b0\uc2dc\uc548 \ubd84\uc0b0\uac12 K(K=3~5)\uc758 \ud649\ud569\uc5d0 \uc758\ud574 \uac01 \ubc30\uacbd \ud53d\uc140\uc744 \uad6c\uc131\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ud649\ud569\uc758 \uac00\uc911\uce58\ub294 \uc7a5\uba74\uc5d0\uc11c \uc774\ub4e4 \uc0c9\uc0c1\uac12\ub4e4\uc774 \uba38\ubb34\ub974\uace0 \uc788\ub294 \uc2dc\uac04 \ube44\uc728\uc785\ub2c8\ub2e4. \ubc30\uacbd\uc73c\ub85c\uc368 \ud310\ub2e8\ub420 \uc218 \uc788\ub294 \uc0c9\uc0c1\uc740 \ub354 \uc624\ub79c \uc2dc\uac04\ub3d9\uc548 \ubcc0\ud558\uc9c0 \uc54a\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n

\uc774 \uc54c\uace0\ub9ac\uc998\uc758 \uad6c\ud604\uc740 cv2.bgsegm.createBackgroundSubtractorMOG()\uc774\uba70, \uc120\ud0dd\ub41c \uc778\uc790\ub85c\uc368, \uc5f0\uc0b0 \uc778\ub825\uc758 \uae38\uc774, \uac00\uc6b0\uc2dc\uc548 \ubbf9\uc2a4\uccd0(\ud63c\ud569)\uc758 \uac1c\uc218, \uc784\uacc4\uac12 \ub4f1\uc778\ub370, \uc774\ub294 \ubaa8\ub450 \uae30\ubcf8\uac12\uc73c\ub85c \uc124\uc815\ub418\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4. \ube44\ub514\uc624\uc758 \uac01 \ud504\ub808\uc784\uc744 \uc5bb\ub294 \ub8e8\ud504\uc5d0\uc11c apply \ub9e4\uc11c\ub4dc\ub97c \ud638\ucd9c\ud558\uc5ec \uc804\uacbd\uc5d0 \ub300\ud55c \ub9c8\uc2a4\ud06c\ub97c \uc5bb\uc2b5\ub2c8\ub2e4. \uc608\uc81c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

\r\nimport numpy as np\r\nimport cv2\r\n\r\ncap = cv2.VideoCapture('.\/data\/vtest.avi')\r\n\r\nfgbg = cv2.bgsegm.createBackgroundSubtractorMOG()\r\n\r\nwhile(1):\r\n    ret, frame = cap.read()\r\n\r\n    fgmask = fgbg.apply(frame)\r\n\r\n    cv2.imshow('frame',fgmask)\r\n    k = cv2.waitKey(30) & 0xff\r\n    if k == 27:\r\n        break\r\n\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n<\/pre>\n
\uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
\ub2e4\uc74c \uc54c\uace0\ub9ac\uc998\uc740 BackgroundSubtractorMOG2\ub85c\uc368, \uc7a5\uba74\uc5d0\uc11c\uc758 \uc870\ub3c4\uac12\uc774 \ubcc0\uacbd\ub418\ub294 \uacbd\uc6b0\uc5d0\ub3c4 \uc88b\uc740 \uacb0\uacfc\ub97c \uc81c\uacf5\ud558\uba70, \uadf8\ub9bc\uc790\uc5d0 \ub300\ud55c \ucc98\ub9ac\uac00 \uac00\ub2a5\ud569\ub2c8\ub2e4. \ub610\ud55c BackgroundSubtractorMOG\uc640 \ub2e4\ub974\uac8c \uac01 \ud53d\uc140\ub9c8\ub2e4 \uac00\uc6b0\uc2dc\uc548 \ubd84\uc0b0\uac12\uc758 \uac1c\uc218\ub97c \uc801\ub2f9\ud55c \uac12\uc744 \uc120\ud0dd\ud574 \uc90d\ub2c8\ub2e4.<\/p>\n
\uc774 \uc54c\uace0\ub9ac\uc998\uc740 cv2.createBackgroundSubtractorMOG2() \ud568\uc218\ub85c \uc2e4\ud589 \uac00\ub2a5\ud558\uba70, detectShadows \uc120\ud0dd \uc778\uc790\ub97c \ud1b5\ud574 \uadf8\ub9bc\uc790\uc5d0 \ub300\ud55c \ucc98\ub9ac \uc5ec\ubd80\ub97c \uacb0\uc815\ud560 \uc218 \uc788\ub294\ub370, \uae30\ubcf8\uac12\uc740 True\uc785\ub2c8\ub2e4. \uadf8\ub9bc\uc790\ub294 \ub9c8\uc2a4\ud06c \uacb0\uacfc\ub85c \ud68c\uc0c9\uc73c\ub85c \ub9c8\ud0b9\ub429\ub2c8\ub2e4. \uc544\ub798\ub294 \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n
\r\nimport numpy as np\r\nimport cv2\r\n\r\ncap = cv2.VideoCapture('.\/data\/vtest.avi')\r\n\r\nfgbg = cv2.createBackgroundSubtractorMOG2()\r\n\r\nwhile(1):\r\n    ret, frame = cap.read()\r\n\r\n    fgmask = fgbg.apply(frame)\r\n\r\n    cv2.imshow('frame',fgmask)\r\n    k = cv2.waitKey(30) & 0xff\r\n    if k == 27:\r\n        break\r\n\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n<\/pre>\n
\uc544\ub798\ub294 \uc2e4\ud589 \uacb0\uacfc\uc785\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
\ub9c8\uc9c0\ub9c9\uc73c\ub85c BackgroundSubtractorGMG \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774 \uc54c\uace0\ub9ac\uc998\uc740 \uc815\uc801\uc778 \ubc30\uacbd \uc774\ubbf8\uc9c0 \ucd94\uc815\uacfc \ud53d\uc140 \ub2f9 Bayesian \ubd84\ud560\uc744 \uc870\ud569\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uc77c\ub2e8 \uc774 \uc54c\uace0\ub9ac\uc998\uc740 \ub3d9\uc601\uc0c1\uc758 \ucc98\uc74c \uba87 \uac1c\uc758 \ud504\ub808\uc784(\uae30\ubcf8\uac12 120)\uc744 \ubc30\uacbd \ubaa8\ub378\ub9c1\uc744 \uc704\ud574 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. (\uadf8\ub798\uc11c \uc774 \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uba74 \ucc98\uc74c \uc2e4\ud589\uc2dc \uae4c\ub9cc \ud654\uba74\ub9cc \ud45c\uc2dc\ub429\ub2c8\ub2e4.) \uadf8\ub9ac\uace0 \uc774\ub97c Bayesian \ucd94\uc815\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc804\uacbd\uc774\ub77c\uace0 \ud310\ub2e8\ub418\ub294 \uac83\uc744 \ucc3e\uc544 \ub0c5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud310\ub2e8\uc740 \uc870\uc815\uc774 \uac00\ub2a5\ud55c\ub370, \ub354 \uc0c8\ub85c\uc6b4 \uad00\uce21\uc774 \uc870\ub3c4\uac12\uc774 \ubcc0\uacbd\ub418\ub294 \uac83\uc744 \uc218\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub354 \ub192\uc740 \uac00\uc911\uce58\ub97c \uac16\uc2b5\ub2c8\ub2e4. \uc804\uacbd\uc5d0 \ub300\ud55c \ub9c8\uc2a4\ud06c \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \uc7a1\uc74c\uc744 \uc81c\uac70\ud558\uae30 \uc704\ud574 Closing\uacfc Opening\uacfc \uac19\uc740 Morphological \ud544\ud130\ub9c1 \uc5f0\uc0b0\uc774 \uc218\ud589\ub418\ub294\ub370, Opening\uc774 \ub354 \uc7a1\uc74c\uc744 \uc798 \uc81c\uac70\ud569\ub2c8\ub2e4. \uc608\uc81c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\r\nimport numpy as np\r\nimport cv2\r\n\r\ncap = cv2.VideoCapture('.\/data\/vtest.avi')\r\n\r\nkernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(3,3))\r\nfgbg = cv2.bgsegm.createBackgroundSubtractorGMG()\r\n\r\nwhile(1):\r\n    ret, frame = cap.read()\r\n\r\n    fgmask = fgbg.apply(frame)\r\n    fgmask = cv2.morphologyEx(fgmask, cv2.MORPH_OPEN, kernel)\r\n\r\n    cv2.imshow('frame',fgmask)\r\n    k = cv2.waitKey(30) & 0xff\r\n    if k == 27:\r\n        break\r\n\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n<\/pre>\n
\uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"
\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_video\/py_bg_subtraction\/py_bg_subtraction.html \uc785\ub2c8\ub2e4. \ubc30\uacbd \ube7c\ub0c4(Background Subtraction)\uc740 \ub9ce\uc740 \ube44\uc804(Vision) \uae30\ubc18\uc758 \uc5b4\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uc911\uc694\ud55c \ucc98\ub9ac\uc785\ub2c8\ub2e4. \uc608\ub97c\ub4e4\uc5b4\uc11c, \uace0\uc815 \uce74\uba54\ub77c\uc5d0\uc11c \ucc0d\uc740 \uc601\uc0c1\uc744 \ud1b5\ud574 \uba87\uba85\uc758 \ubc29\ubb38\uc790\uac00 \ubc29\uc744 \ub4e4\uc5b4\uac00\uace0 \ub098\uc654\ub294\uc9c0\uc758 \ud69f\uc218\ub97c \uc13c\ub2e4\uac70\ub098, \uad50\ud1b5 \uce74\uba54\ub77c\uc5d0\uc11c \ucc0d\uc740 \uc601\uc0c1\uc5d0\uc11c \ucc28\ub7c9\uc758 \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\ub294 \uacbd\uc6b0 \ub4f1\uc785\ub2c8\ub2e4. \uc774\ub7f0 \ubaa8\ub4e0 \uacbd\uc6b0\uc5d0, \uc0ac\ub78c\uc774\ub098 \ucc28\ub7c9\uc744 \ucd94\ucd9c\ud574\uc57c \ud569\ub2c8\ub2e4. \uae30\uc220\uc801\uc73c\ub85c \ubcc0\ud558\uc9c0 \uc54a\ub294 \ubc30\uacbd\uc5d0\uc11c \uc6c0\uc9c1\uc774\ub294 \uc804\uacbd\uc744 \ucd94\ucd9c\ud560 \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ub9cc\uc57d \ubc30\uacbd\ub9cc \uac00\uc9c4 … <\/p>\n
\ub354 \ubcf4\uae30 “Python\uacfc OpenCV \u2013 42 : \ubc30\uacbd \ube7c\ub0c4”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[130,131],"tags":[],"class_list":["post-6862","post","type-post","status-publish","format-standard","hentry","category-opencv","category-python"],"_links":{"self":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6862","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6862"}],"version-history":[{"count":5,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6862\/revisions"}],"predecessor-version":[{"id":9423,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6862\/revisions\/9423"}],"wp:attachment":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6862"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6862"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6862"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}