Dennis Núñez-Fernández

BSc in Electronic Engineering, Universidad Nacional de Ingeniería (UNI)

Face detection using Haar Cascades on OpenCV 2.4

Create a folder facedetector. In this folder open up a new file, name it facedetector.cpp, and insert the following code (the files facedetector.cpp and haarcascade_frontalface_alt.xml are included in this [link]:

#include <opencv2/opencv.hpp> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/legacy/legacy.hpp> #include <iostream> #include <stdio.h> using namespace std; using namespace cv; //global variables String cascade_name = "haarcascade_frontalface_alt.xml"; CascadeClassifier cascade; //main function int main(int argc, const char** argv) { CvCapture* capture; Mat frame; Mat frameout; //load the cascades if(!cascade.load(cascade_name)){ printf("--(!)Error loading\n"); return -1; } //read the video stream capture = cvCaptureFromCAM(-1); if(capture) { while(true) { frame = cvQueryFrame(capture); if(!frame.empty()) { } else { printf(" --(!) No captured frame -- Break!"); break; } //FACE DETECTION std::vector<Rect> faces; Mat frame_gray; cvtColor( frame, frame_gray, CV_BGR2GRAY ); equalizeHist( frame_gray, frame_gray ); 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++ ) { int point1x = faces[i].x; int point1y = faces[i].y; int lengthxy = faces[i].width; rectangle(frame, Point(point1x,point1y), Point(point1x+lengthxy,point1y+lengthxy), Scalar(0,0,255), 1, 8, 0 ); imshow("Face detection", frame ); } int c = waitKey(10); if((char)c == 'q') { break; } } } return 0; }

Then, compile:

g++ -I/usr/local/include/opencv -I/usr/local/include/opencv2 -L/usr/local/lib/ -g -o binary facedetector.cpp -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_stitching -o facedetector

Finally, run the program:

$ ./facedetector

The command above should show the next result: