Opencv-real-time detection of human eyes on cameras

This article mainly applies the built-in functions cascadeclassifier, load and detecmultiscale of opencv to implement real-time detection of human eyes on the camera!

# Include "opencv2/objdetect. HPP "# include" opencv2/highgui. HPP "# include" opencv2/imgproc. HPP "# include <iostream> # include <stdio. h> // namespace using namespace STD; using namespace CV; // function declaration void detectanddisplay (MAT frame); // global variable // -- note, either copy these two files from opencv/data/haarscascades to your current folder, or change these locationsstring face_cascade_name = "haarcas Response "; string response =" response "; cascadeclassifier face_cascade; cascadeclassifier eyes_cascade; string window_name =" Capture-Face Detection "; RNG (12345); int main (void) {cvcapture * capture; MAT frame; // -- 1. load the cascades if (! Face_cascade.load (face_cascade_name) {printf ("--(!) Error loading \ n "); Return-1 ;}; if (! Eyes_cascade.load (eyes_cascade_name) {printf ("--(!) Error loading \ n "); Return-1 ;}; // -- 2. read the video stream capture = cvcapturefromcam (-1); If (capture) {for (;) {frame = cvqueryframe (capture); // -- 3. apply the classifier to the frame if (! Frame. Empty () {detectanddisplay (FRAME);} else {printf ("--(!) No captured frame -- break! "); Break;} int c = waitkey (10); If (char) C = 'C') {break ;}} return 0 ;} void detectanddisplay (MAT frame) {STD: vector <rect> faces; MAT frame_gray; cvtcolor (frame, frame_gray, cv_bgr2gray); equalizehist (frame_gray, frame_gray ); // -- detect faces face_cascade.detectmultiscale (frame_gray, faces, 1.1, 2, 0 | cv_haar_scale_image, size (30, 30); For (size_t I = 0; I <faces. size (); I ++) {Point Center (faces [I]. X + faces [I]. width/2, faces [I]. Y + faces [I]. height/2); ellipse (frame, center, size (faces [I]. width/2, faces [I]. height/2), 0, 0,360, scalar (255, 0,255), 2, 8, 0); MAT faceroi = frame_gray (faces [I]); STD :: vector <rect> eyes; // -- in each face, detect eyes eyes_cascade.detectmultiscale (faceroi, eyes, 1.1, 2, 0 | cv_haar_scale_image, size (30, 30 )); for (size_t J = 0; j <eyes. size (); j ++) {point eye_center (faces [I]. X + eyes [J]. X + eyes [J]. width/2, faces [I]. Y + eyes [J]. Y + eyes [J]. height/2); int radius = cvround (eyes [J]. width + eyes [J]. height) * 0.25); Circle (frame, eye_center, radius, scalar (255, 0, 0), 3, 8, 0 );}} // -- show what you got imshow (window_name, frame );}

The above two files can be found in path: D: \ Program Files \ opencv2.4.3 \ opencv \ data \ haarcascades.

After finding them, put the two files under the program directory, for example, my program directory location:

The test is as follows: