/// <summary>
/// Compute the min DTW distance between seq2 and all possible endings of seq1.
/// </summary>
/// <param name="seq1">The master array of sequences to compare</param>
/// <param name="seq2">The learner array of sequences to compare</param>
/// <returns>The best match</returns>
public double DtwComputation(ArrayList seq1, ArrayList seq2, ArrayList learnerframe, ArrayList learnercolorframe, string path, double anglethreshold)
{
// Init
var seq1R = new ArrayList(seq1);
//seq1R.Reverse();
var seq2R = new ArrayList(seq2);
var learnerf = new ArrayList();
var learnerc = new ArrayList();
//seq2R.Reverse();
var tab = new double[seq1R.Count, seq2R.Count];
for (int i = 0; i < seq1R.Count; i++)
{
for (int j = 0; j < seq2R.Count; j++)
{
//tab[i, j] = Double.PositiveInfinity;
tab[i, j] = Marker((System.Windows.Point[])seq1R[i], (System.Windows.Point[])seq2R[j], anglethreshold);
}
}
tab[0, 0] = 0;
if (_learnerskeletonstream != null)
_learnerskeletonstream.Close();
while (FileDelete(@path + "LearnerSelected")) ;
_learnerskeletonstream = File.Create(@path + "LearnerSelected");
_lrecorder = new KinectRecorder(KinectRecordOptions.Skeletons, _learnerskeletonstream);
if (_learnercolorstream != null)
_learnercolorstream.Close();
while (FileDelete(@path + "LearnerSelectedColor")) ;
_learnercolorstream = File.Create(@path + "LearnerSelectedColor");
_lcolorrecorder = new BinaryWriter( _learnercolorstream);
int []max_slope = new int [3];
// Dynamic computation of the DTW matrix.
for (int i = 1; i < seq1R.Count; i++)
{
for (int j = 1; j < seq2R.Count; j++)
{
switch (min(tab[i, j - 1], tab[i - 1, j - 1], tab[i - 1, j]))
{
case 1:
if(max_slope[0]++ %6 != 0)
tab[i, j] = Marker((System.Windows.Point[])seq1R[i], (System.Windows.Point[])seq2R[j], anglethreshold) + tab[i, j - 1];
else tab[i, j] = Marker((System.Windows.Point[])seq1R[i], (System.Windows.Point[])seq2R[j], anglethreshold) + tab[i - 1, j - 1];
max_slope[1] = 0;
max_slope[2] = 0;
break;
case 2:
tab[i, j] = Marker((System.Windows.Point[])seq1R[i], (System.Windows.Point[])seq2R[j], anglethreshold) + tab[i - 1, j - 1];
max_slope[0] = 0;
max_slope[2] = 0;
break;
case 3:
if (max_slope[2]++ % 6 != 0)
tab[i, j] = Marker((System.Windows.Point[])seq1R[i], (System.Windows.Point[])seq2R[j], anglethreshold) + tab[i - 1, j - 1];
else tab[i, j] = Marker((System.Windows.Point[])seq1R[i], (System.Windows.Point[])seq2R[j], anglethreshold) + tab[i - 1, j];
max_slope[0] = 0;
max_slope[1] = 0;
break;
default:
tab[i, j] = double.PositiveInfinity;
break;
}
}
}
int totalframe = 0;
int correctframe = 0;
bool chosen = false;
//Reconstruct the best matched path //int currentI = bestMatchI;
//int currentJ = bestMatchI;
int currentI = seq1R.Count - 1;
int currentJ = seq2R.Count - 1;
while (currentI != 0 && currentJ != 0)
{
//Console.WriteLine(target.I + " " + target.J);
switch (min(tab[currentI, currentJ - 1], tab[currentI - 1, currentJ - 1], tab[currentI - 1, currentJ]))
{
case 1:
currentJ--;
chosen = false;
break;
case 2:
currentI--;
currentJ--;
learnerf.Add((SkeletonFrame)learnerframe[currentJ]);
if (currentJ < learnercolorframe.Count) learnerc.Add((int)learnercolorframe[currentJ]);
correctframe++;
chosen = false;
break;
case 3:
currentI--;
learnerf.Add((SkeletonFrame)learnerframe[currentJ]);
if(currentJ < learnercolorframe.Count) learnerc.Add((int)learnercolorframe[currentJ]);// sometimes the color image frame number is smaller
if(!chosen) correctframe++;
chosen = true;
break;
default:
currentJ--;
chosen = false;
break;
}
totalframe++;
}
while (learnerf.Count != 0)
{
_lrecorder.Record((SkeletonFrame)learnerf[learnerf.Count - 1]);
learnerf.RemoveAt(learnerf.Count - 1);
}
using (FileStream fs = File.OpenRead(".\\colorStream"))
{
using (BinaryReader reader = new BinaryReader(fs))
{
int temp = reader.ReadInt32();
_lcolorrecorder.Write(temp);
CreateFromReader(reader);
while (learnerc.Count != 0)
{
if (FrameNumber == (int)learnerc[learnerc.Count - 1])
{
Record(_lcolorrecorder);
learnerc.RemoveAt(learnerc.Count - 1);
}
else
{
CreateFromReader(reader);
}
}
}
}
_learnerskeletonstream.Close();
_lrecorder.Stop();
_learnercolorstream.Close();
_lcolorrecorder.Close();
return (Double)correctframe / (Double)totalframe * 100;
}