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Modified sample for object detection with LBP in tutorial_code
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@ -18,8 +18,11 @@ void detectAndDisplay( Mat frame );
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/** Global variables */
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String face_cascade_name = "lbpcascade_frontalface.xml";
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String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
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CascadeClassifier face_cascade;
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CascadeClassifier eyes_cascade;
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string window_name = "Capture - Face detection";
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RNG rng(12345);
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/**
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@ -32,6 +35,7 @@ int main( int argc, const char** argv )
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//-- 1. Load the cascade
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if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
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if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
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//-- 2. Read the video stream
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capture = cvCaptureFromCAM( -1 );
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@ -65,13 +69,31 @@ void detectAndDisplay( Mat frame )
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cvtColor( frame, frame_gray, CV_BGR2GRAY );
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equalizeHist( frame_gray, frame_gray );
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//-- Detect faces
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face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
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for( int i = 0; i < faces.size(); i++ )
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{
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Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
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ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
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Mat faceROI = frame_gray( faces[i] );
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std::vector<Rect> eyes;
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//-- In each face, detect eyes
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eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
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if( eyes.size() == 2)
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{
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//-- Draw the face
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Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
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ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
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for( int j = 0; j < eyes.size(); j++ )
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{ //-- Draw the eyes
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Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
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int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
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circle( frame, center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 );
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}
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}
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}
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//-- Show what you got
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imshow( window_name, frame );
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