Question

我设法执行了一些简单的面部和眼睛检测/跟踪。它不太准确，但它的工作原理。我想知道OpenCV库中是否有某种方法可以在移动时提取眼睛和脸部的坐标，并在控制台中实时打印出来。或者甚至可以将这些坐标保存在输出文件中。

更新（面部和眼部检测代码）：

int detect( IplImage* img, const char* cascade_name ) {



static CvMemStorage* storage = 0;

static CvHaarClassifierCascade* cascade = 0;

int scale = 1;
int i;
IplImage* temp = cvCreateImage( cvSize(img->width/scale,img->height/scale), 8, 3 );


//Load Cascade

cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );

if( !cascade )
{
    fprintf( stderr, "ERROR: Could not load classifier cascade!\n" );
    return 0;
}


storage = cvCreateMemStorage(0);
cvClearMemStorage( storage );
int faceDetected = 0;
if( cascade )
{
    //In case there is more than one face
    CvSeq* faces = cvHaarDetectObjects( img, cascade, storage,
                                       1.1, 2, CV_HAAR_DO_CANNY_PRUNING,
                                       cvSize(40, 40) );

    faceDetected = (faces ? faces->total : 0);

    for( i = 0; i < (faces ? faces->total : 0); i++ )
    {

        CvRect* r = (CvRect*)cvGetSeqElem( faces, i );


//Maybe this is where I get the coordinates?

        pt1.x = r->x*scale;
        pt2.x = (r->x+r->width)*scale;
        pt1.y = r->y*scale;
        pt2.y = (r->y+r->height)*scale;


//Draw rectangle over face

        cvRectangle( img, pt1, pt2, CV_RGB(255,0,0), 3, 8, 0 );

    }
}
cvReleaseImage( &temp );   
return faceDetected;

static CvMemStorage* storage = 0; static CvHaarClassifierCascade* cascade = 0; int scale = 1; int i; IplImage* temp = cvCreateImage( cvSize(img->width/scale,img->height/scale), 8, 3 );

Answer 1

这可能是你想要的：

for( i=0 ; i< faces->total; i++ )
{
 CvRect* r = (CvRect*)cvGetSeqElem( faces, i );
 printf("( %d %d ) , ( %d %d) ", r->x, r->y, r->x + r->width, r->y + r->height ); 
}

Answer 2

This是一个用opencv构建的简单面部检测。他们用另一个CascadeClassifier检测面部内的眼睛。您可以从opencv repository下载现有CascadeClassifiers的列表，并根据您的需要使用它们。如果它们都不满足您的要求，您可以随时训练自己的分类器，例如关注this tutorial。

通过OpenCV跟踪打印眼睛坐标

2 个答案: