{"id":3521,"date":"2022-03-28T09:27:55","date_gmt":"2022-03-28T03:57:55","guid":{"rendered":"http:\/\/myprojectideas.com\/?p=3521"},"modified":"2025-11-01T11:52:34","modified_gmt":"2025-11-01T11:52:34","slug":"c-program-to-detect-face-in-video-using-opencv-library","status":"publish","type":"post","link":"https:\/\/rudelabs.ai\/blogs\/c-program-to-detect-face-in-video-using-opencv-library\/","title":{"rendered":"C++ Program To Detect Face In A Video Using OpenCV Library"},"content":{"rendered":"<h2><strong>Introduction Of The Project<\/strong><\/h2>\n<p>Are you fascinated with face recognition technology? Do you want to go deep into OpenCV? Let\u2019s try to implement a part of it today. So, we will implement a C++ program using which we will be able to detect faces inside the video. Sounds interesting! Right? So, let\u2019s begin with the C++ Program to detect a face in a video using OpenCV Library.<\/p>\n<iframe loading=\"lazy\"  id=\"_ytid_59688\"  width=\"1080\" height=\"607\"  data-origwidth=\"1080\" data-origheight=\"607\" src=\"https:\/\/www.youtube.com\/embed\/gWaK5iw4bpg?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&rel=1&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&\" class=\"__youtube_prefs__  no-lazyload\" title=\"YouTube player\"  allow=\"fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe>\n<p>&nbsp;<\/p>\n<h2><strong>Requirements<\/strong><\/h2>\n<ul>\n<li>VSCode\/VisualStudio<\/li>\n<li>C++ compiler<\/li>\n<li>OpenCV<\/li>\n<li>A Video file<\/li>\n<\/ul>\n<h2><strong>Steps To Create A C++ Program To Detect A Face In A Video Using OpenCV Library<\/strong><\/h2>\n<p><strong>Step 1: <\/strong>Install VSCode Editor and C++ extension using the below link.<\/p>\n<p><a href=\"https:\/\/code.visualstudio.com\/docs\/languages\/cpp\">https:\/\/code.visualstudio.com\/docs\/languages\/cpp<\/a><\/p>\n<p>OR<\/p>\n<p>To install Visual Studio, use <a href=\"https:\/\/visualstudio.microsoft.com\/thank-you-downloading-visual-studio\/?sku=Community&amp;channel=Release&amp;version=VS2022&amp;source=VSLandingPage&amp;cid=2030&amp;passive=false\">this <\/a>link.<\/p>\n<p><strong>Step 2: <\/strong>Install the C++ compiler with the help of the below link<\/p>\n<p><a href=\"https:\/\/www.msys2.org\/\">https:\/\/www.msys2.org\/<\/a><\/p>\n<p><strong>Step 3: <\/strong>Download OpenCV on your machine using the below link.<\/p>\n<p><a href=\"https:\/\/opencv.org\/releases\/\">https:\/\/opencv.org\/releases\/<\/a><\/p>\n<p><strong>Step 4: <\/strong>Now, run the below code in the VSCode Editor\/ Visual Studio.<\/p>\n<h2><strong>Source Code<\/strong><\/h2>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"cpp\">\/\/ Include required header files from the OpenCV directory\r\n\r\n#include \"C:\\opencv\\build\\include\\opencv2\\objdetect.hpp\"\r\n\r\n#include \"C:\\opencv\\build\\include\\opencv2\\highgui.hpp\"\r\n\r\n#include \"C:\\opencv\\build\\include\\opencv2\\imgproc.hpp\"\r\n\r\n#include &lt;iostream&gt;\r\n\r\n\r\n\r\n\r\nusing namespace std;\r\n\r\nusing namespace cv;\r\n\r\n\r\n\r\n\r\n\/\/ Function Declaration to detect face\r\n\r\nvoid detectFace(Mat&amp; img, CascadeClassifier&amp; cascade, CascadeClassifier&amp; nestedCascade, double scale);\r\n\r\nstring cascadeName, nestedCascadeName;\r\n\r\n\r\n\r\n\r\nint main(int argc, const char** argv)\r\n\r\n{\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ Class for video capturing from video files &amp; provides C++ API for capturing video from cameras or reading video files.\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 VideoCapture capture;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Mat frame, image;\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ PreDefined trained XML classifiers with facial features\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 CascadeClassifier cascade, nestedCascade;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 double scale = 1;\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ Loads a classifiers from \"opencv\\sources\\data\\haarcascades\" directory\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 nestedCascade.load(\"C:\\\\opencv\\\\sources\\\\data\\\\haarcascades\\\\haarcascade_eye_tree_eyeglasses.xml\");\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ Before execution, change the paths according to your openCV location\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 cascade.load(\"C:\\\\opencv\\\\sources\\\\data\\\\haarcascades\\\\haarcascade_frontalcatface.xml\");\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To capture Video from WebCam replace the path with 0, else edit the path\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 capture.open(\"C:\\\\Users\\\\misss\\\\Downloads\\\\FaceVideocpp.mp4\");\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 if (capture.isOpened())\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 {\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ Capturing frames from the video\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 cout &lt;&lt; \"Face Detection is started....\" &lt;&lt; endl;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 while (1)\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 {\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 capture &gt;&gt; frame;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 if (frame.empty())\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 break;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Mat frame1 = frame.clone();\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ Calling the detect face function\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 detectFace(frame1, cascade, nestedCascade, scale);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 char c = (char)waitKey(10);\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ Press q to exit from the window\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 if (c == 27 || c == 'q' || c == 'Q')\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 break;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 }\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 }\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 else\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 cout &lt;&lt; \"Could not Open Video\/Camera! \";\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 return 0;\r\n\r\n}\r\n\r\n\r\n\r\n\r\n\/\/ Defination of Detect face function\r\n\r\nvoid detectFace(Mat&amp; img, CascadeClassifier&amp; cascade, CascadeClassifier&amp; nestedCascade, double scale)\r\n\r\n{\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 vector&lt;Rect&gt; faces, faces2;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Mat gray, smallImg;\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To convert the frames to gray color\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 cvtColor(img, gray, COLOR_BGR2GRAY);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 double fx = 1 \/ scale;\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To resize the frames\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 resize(gray, smallImg, Size(), fx, fx, INTER_LINEAR);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 equalizeHist(smallImg, smallImg);\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To detect faces of different sizes using cascade classifier\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 cascade.detectMultiScale(smallImg, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To draw circles around the faces\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 for (size_t i = 0; i &lt; faces.size(); i++)\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 {\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Rect r = faces[i];\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Mat smallImgROI;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 vector&lt;Rect&gt; nestedObjects;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Point center;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Scalar color = Scalar(255, 0, 0);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 int radius;\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 double aspect_ratio = (double)r.width \/ r.height;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 if (0.75 &lt; aspect_ratio &amp;&amp; aspect_ratio &lt; 1.3)\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 {\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 center.x = cvRound((r.x + r.width * 0.5) * scale);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 center.y = cvRound((r.y + r.height * 0.5) * scale);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 radius = cvRound((r.width + r.height) * 0.25 * scale);\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To draw circle\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 circle(img, center, radius, color, 3, 8, 0);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 }\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 else\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 rectangle(img, Point(cvRound(r.x * scale), cvRound(r.y * scale)),\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Point(cvRound((r.x + r.width - 1) * scale),\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 cvRound((r.y + r.height - 1) * scale)), color, 3, 8, 0);\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 if (nestedCascade.empty())\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 continue;\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 smallImgROI = smallImg(r);\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 }\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \/\/ To display the detected face\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 imshow(\"Face Detection\", img);\r\n\r\n}<\/pre>\n<h2><strong>Explanation Of The Code<\/strong><\/h2>\n<p>At the beginning of the code, we have included header files that are used in our functions.<\/p>\n<p>1. Then, we have declared the function to detect the face in the video\/camera with the necessary arguments.<\/p>\n<p>2. After this, we have defined our main function, in which we are capturing the video, converting it to its individual frame, and at last, calling our detect face function to draw a circle over the detected face.<\/p>\n<p>3. Then, we have defined our detect face function, in which we are converting the frames of the video to grayscale using the cvtcolor() function.<\/p>\n<p>4. Then, we resize each frame and detect the faces using a cascade classifier.<\/p>\n<p>5. After this, we draw circles around the detected face using the cvround and circle function.<\/p>\n<p>6. At last, we use the imshow() function to display the detected face.<\/p>\n<h2><strong>Output<\/strong><\/h2>\n<p>The below screenshot shows how our C++ Program To Detect Face In A Video Using OpenCV Library has successfully detected faces in the video.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18419 size-full\" src=\"https:\/\/rudelabs.ai\/blogs\/wp-content\/uploads\/2022\/03\/C-Program-To-Detect-Face-In-Video-Using-OpenCV-Library.webp\" alt=\"C++ Program To Detect Face In A Video Using OpenCV Library\" width=\"970\" height=\"521\" \/><\/p>\n<h2><strong>Things to Remember<\/strong><\/h2>\n<ul>\n<li>Set the path of the compiler in VSCode along with system variables.<\/li>\n<li>If you are using visual studio, then edit the general(dependencies &#8211; OpenCVpath) and input fields(Lib path of openCV) in C++ &amp; Linker under the project &#8211; properties option.<\/li>\n<li>Follow the steps written in the documentation after installing the compiler to avoid errors(If you are using VS Code).<\/li>\n<li>Edit the path in the code as per the location of OpenCV in your system.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This C++ Program to detect a face in a video using OpenCV Library allows you to successfully make face recognition from videos.<\/p>\n","protected":false},"author":1,"featured_media":8590,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[16,7],"tags":[17,21,22],"class_list":["post-3521","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-c-computer-science","category-coding-projects","tag-c","tag-opencv","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - 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