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I am working on software using OpenCV in C++ environment. The objective is to detect a boxing glove and draw a bounding box around gloves contours.

The problem I am running into is that the bounding box is drown more than once in fact multiple boxes are drawn. What I was trying to do over the past few days is to somehow eliminate the number of boxes drawn and have only one big bounding box drawn.

I was looking at some techniques to fill in the object int its whole which i believe would really help in this case.

Below I have posted the code i used to achieve the result displayed in the image:

vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
vector<Vec3f> vecCircles;               
vector<Vec3f>::iterator itrCircles;

while(1)
{
    Mat frame;
    cap >> frame; // get a new frame from camera
    /////////////////////
    Mat imgHSV;
    cvtColor( frame, imgHSV, CV_BGR2HSV );
    ////////////////////
    Mat blur_out;
    GaussianBlur(imgHSV, blur_out, Size(1,1),2.0,2.0);
    ////////////////////
    Mat range_out;
    inRange(blur_out, Scalar(100, 100, 100), Scalar(120, 255, 255), range_out);
    ////////////////////
    findContours(range_out, contours, hierarchy, CV_RETR_TREE,  CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

     /// Approximate contours to polygons + get bounding rects and circles
     vector<vector<Point> > contours_poly( contours.size() );
     vector<Rect> boundRect( contours.size() );
     vector<Point2f>center( contours.size() );
     vector<float>radius( contours.size() );

     for( int i = 0; i < contours.size(); i++ )
     { 
         approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
         boundRect[i] = boundingRect( Mat(contours_poly[i]) );
     }

     /// Draw polygonal contour + bonding rects
     Mat drawing = Mat::zeros( range_out.size(), CV_8UC3 );
     for( int i = 0; i< contours.size(); i++ )
     {
         Scalar color = Scalar(255,0,255);
         drawContours( drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
         rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );          
     }

enter image description here

If anyone could suggest some tips or provide some source of information where i can find answers for my problem.

EDIT (quick update):

I managed to improve the output image quiet gradually to a point am quiet happy with the result. The Key was the usage of erode & dilation as well as in my findContours() function. I changed the CV_RETR_TREE to CV_RETR_EXTERNAL. There were a few other minor things i tackled but the result is good:

enter image description here

Dont know if i should write this here or open new thread....But now I need some help with component labeling and extracting parameters such as center points and area. :)

See Question&Answers more detail:os

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Take a look at my other answer in this subject. Compile that code and remember to activate the code that is commented out.

Result:

enter image description here


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
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