haar特征的手势检测（OpenCV）

/************************************************************************ * Copyright(c) 2011 Yang Xian * All rights reserved. * * File: handGestureDetection.cpp * Brief: 手势检测 * Version: 1.0 * Author: Yang Xian * Email: xyang2011@sinano.ac.cn * Date: 2011/12/01 * History: ************************************************************************/ #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/core/core.hpp> #include <iostream> using namespace std; using namespace cv; /** Function Headers */ void detectAndDisplay( Mat frame ); /** Global variables */ String face_cascade_name = "hand.xml"; CascadeClassifier CHandCascade; string window_name = "Hand Gesture Detection"; int main(int argc, const char** argv) { Mat frame; //-- 1. Load the cascades if( !CHandCascade.load( face_cascade_name ) ) { printf("--(!)Error loading\n"); return -1; } //-- 2. Read the video stream CvCapture* capture = cvCaptureFromCAM( -1 ); // VideoCapture capture("hand.avi"); if(/*capture.isOpened()*/capture) { while( true ) { frame = cvQueryFrame( capture ); // 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 == 27) { break; } } } return 0; } /** * @function detectAndDisplay */ void detectAndDisplay( Mat frame ) { std::vector<Rect> hands; Mat frame_gray; cvtColor( frame, frame_gray, CV_BGR2GRAY ); equalizeHist( frame_gray, frame_gray ); //-- Detect faces CHandCascade.detectMultiScale(frame_gray, hands, 1.1, 2, CV_HAAR_DO_CANNY_PRUNING, Size(40, 40)); for(size_t i=0; i<hands.size(); i++) { rectangle(frame, hands[i], Scalar(255,0,255)); } //-- Show what you got imshow( window_name, frame ); }