关于人眼识别和眨眼识别的问题。急，在线等！

我已经大致写出了code，效果就是类似下图的样子，但是眼睛识别不精确，貌似其他圆圆的东西也会识别成为眼睛。因此想知道如何提升精确度。我把我的code贴在下面了。

接着就是眨眼的问题。我想做出如下图eye blink的效果，只要闭眼超过1秒，便识别为 闭眼状态。

import gab.opencv.*;
import processing.video.*;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.CvType;
import org.opencv.core.Size;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.imgproc.Imgproc;
import java.awt.image.BufferedImage;
import java.awt.image.WritableRaster;
import java.awt.image.Raster;
import org.opencv.objdetect.*;
Capture cap;
int pixCnt;
BufferedImage bm;
CascadeClassifier faceDetector;
MatOfRect faceDetections;
void setup() {
size(640, 480);
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
println(Core.VERSION);
cap = new Capture(this, width, height);
cap.start();
bm = new BufferedImage(width, height, BufferedImage.TYPE_4BYTE_ABGR);
pixCnt = width*height*4;
faceDetector = new CascadeClassifier(dataPath("haarcascade_eye.xml"));
faceDetections = new MatOfRect();
}
void convert(PImage _i) {
bm.setRGB(0, 0, _i.width, _i.height, _i.pixels, 0, _i.width);
Raster rr = bm.getRaster();
byte [] b1 = new byte[pixCnt];
rr.getDataElements(0, 0, _i.width, _i.height, b1);
Mat m1 = new Mat(_i.height, _i.width, CvType.CV_8UC4);
m1.put(0, 0, b1);
Mat m2 = new Mat(_i.height, _i.width, CvType.CV_8UC1);
Imgproc.cvtColor(m1, m2, Imgproc.COLOR_BGRA2GRAY);
faceDetector.detectMultiScale(m2, faceDetections, 3, 1,
Objdetect.CASCADE_DO_CANNY_PRUNING, new Size(40, 40), new Size(240, 240));
bm.flush();
m2.release();
m1.release();
}
void draw() {
if (!cap.available())
return;
background(0);
cap.read();
convert(cap);
image(cap, 0, 0);
for (Rect rect: faceDetections.toArray()) {
noFill();
stroke(255, 0, 0);
rect(rect.x, rect.y, rect.width, rect.height);
}
}
比较着急，求大神帮忙改改code，或者直接给个能用的优化的code。感激不尽！