人脸人眼目标检测

/************************************************************************ * Copyright(c) 2011 Yang Xian * All rights reserved. * * File: main.cpp * Brief: 利用级联分类器(基于haar特征)实现的人脸+人眼的目标检测 * Version: 1.0 * Author: Yang Xian * Email: yang_xian521@163.com * Date: 2011/11/16 * History: ************************************************************************/ #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/core/core.hpp> #include <iostream> #include <stdio.h> using namespace std; using namespace cv; /** Function Headers */ void detectAndDisplay( Mat frame ); /** Global variables */ //-- Note, either copy these two files from opencv/data/haarscascades to your current folder, or change these locations String face_cascade_name = "haarcascade_frontalface_alt.xml"; String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml"; CascadeClassifier face_cascade; CascadeClassifier eyes_cascade; string window_name = "Capture - Face detection"; RNG rng(12345); int main( int argc, const char** argv ) { 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 // CvCapture* capture = cvCaptureFromCAM( -1 ); // 摄像头读取文件开关 VideoCapture capture("Sample.avi"); if( capture.isOpened()/*capture*/ ) // 摄像头读取文件开关 { while( true ) { // frame = cvQueryFrame( capture ); // 摄像头读取文件开关 capture >> frame; //-- 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; } /** * @function detectAndDisplay */ 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( int(faces[i].x + faces[i].width*0.5), int(faces[i].y + faces[i].height*0.5) ); ellipse( frame, center, Size( int(faces[i].width*0.5), int(faces[i].height*0.5)), 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 center( int(faces[i].x + eyes[j].x + eyes[j].width*0.5), int(faces[i].y + eyes[j].y + eyes[j].height*0.5) ); int radius = cvRound( (eyes[j].width + eyes[i].height)*0.25 ); circle( frame, center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 ); } } //-- Show what you got imshow( window_name, frame ); }