java - How adjust tolerance level for OpenCV detection false positives? -

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i'm developing system using opencv, detects objects haarcascades xml files. however, there many false detections. there way minimize false detections? part of code: 

private void detecta(string arquivo) { cascadeclassifier bodydetector = new cascadeclassifier(path+arquivo);  matofrect facedetections = new matofrect();     bodydetector.detectmultiscale(webcam_image, facedetections);        // bodydetector.detectmultiscale(webcam_image, facedetections);      (rect rect : facedetections.toarray()) {       core.rectangle(webcam_image, new point(rect.x, rect.y), new point(rect.x +         rect.width, rect.y + rect.height), new scalar(0, 255, 0));// mat2buf, mat2buf);     }      if (facedetections.toarray().length == 0) {        toc.getlblsaida().settext("");      } else {        //java.awt.toolkit.getdefaulttoolkit().beep();         toc.getlblsaida().settext(+facedetections.toarray().length + "objetos detectados");   try {       playsound();   } catch (ioexception ex) {       logger.getlogger(testwebcam.class.getname()).log(level.severe, null, ex);   }     }

}

there's couple of overloads detectmultiscale allow this.

i.e increasing value minneighbours [needed valid detection], , setting minsize , maxsize achieve, want.


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