public void capture()
{
this.log("capturing...");
Image <Bgr, Byte> currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
Image <Gray, byte> gray = currentFrame.Convert <Gray, Byte>();
this.log("capture done");
// check train done
if (this.frameCount % 10 == 0 && this.trainCount >= 0 && this.trainCount < TRAIN_THRESHOLD)
{
if (this.train(gray, this.personToTrain))
{
this.trainCount++;
this.log("training..." + trainCount);
}
this.match("", TRAINING);
return;
}
else if (this.trainCount == TRAIN_THRESHOLD)
{
MCvTermCriteria termCrit = new MCvTermCriteria(50, 0.001);
recognizer = new EigenObjectRecognizer(this.appPath, trainingImages.ToArray(), this.labels.ToArray(), 5000, ref termCrit);
this.trainComplete();
this.trainCount = -1;
}
// Face detect
this.log("face detecting...");
Image <Gray, byte> result;
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(face, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
this.log("face detecting done");
// find the best matched again.
if (facesDetected[0].Length != 1)
{
this.log("no faces detected");
this.match(this.bestMatchPerson, 0);
if (this.frameCount % NOFACE_COUNT == 0)
{
this.matchPersons.Clear();
this.bestMatchPerson = "";
this.log("reset");
this.match("", 0);
// clean up all apps when no use
if (this.frameCount % CLEANUP_COUNT == 0)
{
this.cleanup();
}
}
}
else
{
this.log("faces detected");
foreach (MCvAvgComp f in facesDetected[0])
{
result = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
// Find the best match person
int testCount = 0;
foreach (KeyValuePair <string, int> iter in this.matchPersons)
{
testCount += iter.Value;
}
if (trainingImages.ToArray().Length != 0)
{
string name = recognizer.Recognize(result, testCount, TRAIN_THRESHOLD);
this.log("found:" + name + ", maxCount:" + testCount);
// Find the best match until threshold
if (testCount < MATCH_THRESHOLD)
{
if (this.matchPersons.ContainsKey(name))
{
this.matchPersons[name]++;
}
else
{
this.matchPersons[name] = 1;
}
this.match("", testCount);
}
else
{
IEnumerable <KeyValuePair <string, int> > sortedDict = from entry in matchPersons orderby entry.Value descending select entry;
string matchPersonsOut = "";
string bestMatch = "";
int i = 0;
foreach (KeyValuePair <string, int> iter in sortedDict)
{
matchPersonsOut += iter.Key + ": " + iter.Value + "\n";
if (i++ == 0)
{
if (iter.Value >= 7)
{
bestMatch = iter.Key;
this.bestMatchPerson = bestMatch;
}
else
{
this.matchPersons.Clear();
this.bestMatchPerson = "";
this.log("cannot find the person over 7");
}
}
}
this.match(bestMatch, testCount);
this.logger(matchPersonsOut);
}
}
}
}
this.frameCount++;
}
