matlab removed

11 files changed, 0 insertions, 600 deletions

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/Filtering.m b/SD-VBS/benchmarks/tracking/src/matlab/Filtering.m
deleted file mode 100755
index d42ebb7..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/Filtering.m
+++ /dev/null
@@ -1,30 +0,0 @@
-function imageOut = Filtering(imageIn, rows, cols, kernel, kernelSize)

-

-imageOut = zeros(rows, cols);%initalize output image to all zeros

-imageIn = double(imageIn);%convert to double to allow image arithmetic

-

- intialCol = ((kernelSize+1)/2);

- endCol = round(cols - ((kernelSize+1)/2));

- halfKernel = (kernelSize-1)/2;

- 

- initialRow = ((kernelSize+1)/2);

- endRow = (rows - ((kernelSize+1)/2));

- 

- %% Start 1-D filtering row-wise first.

- 

- for i=initialRow:endRow

-     for j=initialCol:endCol

-     imageOut(i,j) = sum(imageIn(i,j-halfKernel:j+halfKernel).*kernel)/sum(kernel);%actual filtering step

-     end

- end

- 

- %% Start 1-D filtering col-wise first.

- 

-% kernelT = kernel';

-% for i=initialRow:endRow

-%     for j=initialCol:endCol

-%     imageOut(i,j) = sum(imageOut(i-halfKernel:i+halfKernel,j).*kernelT)/sum(kernel);%kernel to be transposed for performing multiplcation

-%     end

-% end

-% 

-% %imshow(uint8(imageOut));

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/calcAreaSum.m b/SD-VBS/benchmarks/tracking/src/matlab/calcAreaSum.m
deleted file mode 100755
index f8dd3da..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/calcAreaSum.m
+++ /dev/null
@@ -1,48 +0,0 @@
-%calcAreaSum:

-% sizeX = cols

-% sizeY = rows

-function ret = calcAreaSum(src, sizeX, sizeY, winSize, dataDir)

-

-src = double(src);

-nave = winSize;

-nave_half = floor((nave+1)/2);

-a1=zeros(1,sizeX+nave);

-    

-for i=1:sizeY

-        %pull out one row

-        for j=1:sizeX

-                a1(j+nave_half)=src(i,j);

-        end

-

-        a1sum=0;

-        %sum up values within a window

-        for k=1:nave

-                a1sum = a1sum+a1(k);

-        end

-

-        for j=1:sizeX

-                ret(i,j) = a1sum;

-                a1sum = a1sum + a1(j+nave) - a1(j);

-        end

-end

-

-a1=zeros(1,sizeY+nave);

-for i=1:sizeX

-

-        %pull out one col

-        for j=1:sizeY

-                a1(j+nave_half)=ret(j,i);

-        end

-

-        a1sum=0;

-        %sum up values within a window

-        for k=1:nave

-                a1sum = a1sum+a1(k);

-        end

-

-        for j=1:sizeY

-                ret(j,i) = a1sum;

-                a1sum = a1sum + a1(j+nave) - a1(j);

-        end

-end

-

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/calcGoodFeature.m b/SD-VBS/benchmarks/tracking/src/matlab/calcGoodFeature.m
deleted file mode 100755
index b83faa6..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/calcGoodFeature.m
+++ /dev/null
@@ -1,28 +0,0 @@
-%calcGoodFeature:

-

-function [lambda, tr, det,c_xx, c_xy, c_yy] = calcGoodFeature(dX, dY, sizeX, sizeY, winSize, dataDir) 

-

-    for i=1:sizeY

-        for j=1:sizeX

-                xx(i,j)=dX(i,j)*dX(i,j);

-                xy(i,j)=dX(i,j)*dY(i,j);

-            yy(i,j)=dY(i,j)*dY(i,j);

-        end

-    end

-    

-        c_xx=calcAreaSum(xx, sizeX, sizeY, winSize,dataDir);

-    c_xy=calcAreaSum(xy, sizeX, sizeY, winSize,dataDir);

-        c_yy=calcAreaSum(yy, sizeX, sizeY, winSize,dataDir);

- 

-        for i=1:sizeY

-        for j=1:sizeX

-                tr(i,j)= c_xx(i,j)+c_yy(i,j);

-                det(i,j)= c_xx(i,j)*c_yy(i,j)-c_xy(i,j)*c_xy(i,j);

-%             if( tr(i,j) == 0 )

-%                 lambda(i,j) = 0;

-%             else

-                lambda(i,j)=det(i,j)/(tr(i,j) + 0.00001);

-%            end

-        end

-    end

- 

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/calcPyrLKTrack.m b/SD-VBS/benchmarks/tracking/src/matlab/calcPyrLKTrack.m
deleted file mode 100755
index c965c2b..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/calcPyrLKTrack.m
+++ /dev/null
@@ -1,108 +0,0 @@
-function [newFPnt, valid] = calcPyrLKTrack(iP, iDxP, iDyP, jP, fPnt, nFeatures, winSize, accuracy_th, max_iter)
-        
-cellDims = size(iP);
-GOOD_FEATURE_LAMBDA_TH = accuracy_th;
-
-for i=1:(cellDims(1))
-    curImgDims = size(iP{i});
-        imgDims(i,1)= curImgDims(1);
-        imgDims(i,2)= curImgDims(2);
-
-end
-
-pLevel = cellDims(1);
-
-rate=[1, 0.5, 0.25, 0.125, 0.0625, 0.03125];
-winSizeSq=4*winSize*winSize;
-iPatch=cell(1, winSizeSq);
-jPatch=cell(1, winSizeSq);
-iDxPatch=cell(1,winSizeSq);
-iDyPatch=cell(1,winSizeSq);
-
-valid(1:nFeatures) = 1;
-newFPnt = zeros(2,nFeatures);
-
-for i=1:nFeatures
-
-    dX=0;
-    dY=0;
-
-%% x is rows here and y is cols
-    
-    x=fPnt(1,i)*rate(pLevel+1);                 %half size of real level
-    y=fPnt(2,i)*rate(pLevel+1);
-
-    for level=pLevel:-1:1
-
-        x = x+x;
-        y = y+y;
-        dX = dX+dX;
-        dY = dY+dY;
-        imgSize(1)=imgDims(level,1); %y,x               
-        imgSize(2)=imgDims(level,2); %y,x               
-
-        c_xx = 0;
-        c_xy = 0;
-        c_yy = 0;
-            
-        %when feature goes out to the boundary.
-
-        if ((x-winSize)<1 || (y-winSize)<1 || (y+winSize+1)>imgSize(1) || (x+winSize+1)>imgSize(2))
-            %winSize+1due to interpolation
-            %error or skip the level??
-            valid(i) = 0;
-            break;
-        end
-
-        
-        iPatch = getInterpolatePatch(iP{level}, imgSize(1), imgSize(2), x, y, winSize);
-        iDxPatch = getInterpolatePatch(iDxP{level}, imgSize(1), imgSize(2), x, y, winSize);
-        iDyPatch = getInterpolatePatch(iDyP{level}, imgSize(1), imgSize(2), x, y, winSize);
-
-        for idx=1:winSizeSq
-            c_xx = c_xx + iDxPatch(idx) * iDxPatch(idx);
-            c_xy = c_xy + iDxPatch(idx) * iDyPatch(idx);
-            c_yy = c_yy + iDyPatch(idx) * iDyPatch(idx);
-        end
-
-        c_det = c_xx * c_yy - c_xy * c_xy;
-        
-        if (c_det/(c_xx+c_yy+0.00001)) < GOOD_FEATURE_LAMBDA_TH
-            valid(i)=0;
-            break;
-        end
-
-        c_det=1/c_det;
-
-        for k=1:max_iter
-            if ((x+dX-winSize)<1 || (y+dY-winSize)<1 || (y+dY+winSize+1)>imgSize(1) || (x+dX+winSize+1)>imgSize(2))
-                %winSize+1due to interpolation
-                %error or skip the level??
-                valid(i)=0;
-                break;
-            end
-
-            jPatch = getInterpolatePatch(jP{level}, imgSize(1), imgSize(2), x+dX, y+dY, winSize);
-            eX = 0;
-            eY = 0;
-            for idx=1:winSizeSq
-                dIt = iPatch(idx) - jPatch(idx);
-                eX = eX + (dIt*iDxPatch(idx));
-                eY = eY + (dIt*iDyPatch(idx));
-            end
-
-            mX = c_det*(eX*c_yy-eY*c_xy);
-            mY = c_det*(-eX*c_xy+eY*c_xx);
-            dX = dX + mX;
-            dY = dY + mY;
-
-
-            if ((mX*mX+mY*mY)<accuracy_th)
-                break;
-            end
-        end
-    end
-    
-    newFPnt(1, i) = fPnt(1,i)+dX;
-    newFPnt(2, i) = fPnt(2,i)+dY;
-end
diff --git a/SD-VBS/benchmarks/tracking/src/matlab/calcSobel.m b/SD-VBS/benchmarks/tracking/src/matlab/calcSobel.m
deleted file mode 100755
index 8617c25..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/calcSobel.m
+++ /dev/null
@@ -1,74 +0,0 @@
-function [Dx, Dy] = calcSobel(imageIn)
-
-imsize = size(imageIn);
-rows = imsize(1);
-cols = imsize(2);
-
-Dx = zeros(rows, cols);     %initalize output image to all zeros
-Dy = zeros(rows, cols);     %initalize output image to all zeros
-imageIn = double(imageIn);  %convert to double to allow image arithmetic
-
-kernel_1 = [1 2 1];
-kernel_2 = [1 0 -1];
-kernelSize = 3;
-
-sum_kernel_1 = 4;
-sum_kernel_2 = 2;
-
-startCol = 2;           %((kernelSize+1)/2);
-endCol = cols - 1;      %round(cols - ((kernelSize+1)/2));
-halfKernel = 1;         %(kernelSize-1)/2;
-
-startRow = 2;           %((kernelSize+1)/2);
-endRow = rows - 1;      %(rows - ((kernelSize+1)/2));
-
-%imshow(uint8(imageIn));
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-%% Calculate Gx (gradient in X-dir)
-%% Gx = ([1 2 1]') * ([1 0 -1] * imageIn)
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-%% Start 1-D filtering row-wise first.
-
-tempOut = zeros(rows, cols);%initalize temp image to all zeros
-for i=startRow:endRow
-   for j=startCol:endCol
-       tempOut(i,j) = sum(imageIn(i,j-halfKernel:j+halfKernel).*kernel_2)/sum_kernel_2;%actual filtering step
-   end
-end
-
-% Start 1-D filtering col-wise first.
-
-for i=startRow:endRow
-   for j=startCol:endCol
-       Dx(i,j) = sum(tempOut(i-halfKernel:i+halfKernel,j).*kernel_1')/sum_kernel_1;%kernel to be transposed for performing multiplcation
-       Dx(i,j) = Dx(i,j);% + 128;
-   end
-end
-
-
-%imshow(uint8(Dx));
-
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-%% Calculate Gy (gradient in Y-dir)
-%% Gy = ([1 0 -1]') * ([1 2 1] * imageIn)
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-%% Start 1-D filtering row-wise first.
-
-for i=startRow:endRow
-    for j=startCol:endCol
-        tempOut(i,j) = sum(imageIn(i-halfKernel:i+halfKernel,j).*kernel_2')/sum_kernel_2;%kernel to be transposed for performing multiplcation
-    end
-end
-
-for i=startRow:endRow
-    for j=startCol:endCol
-        Dy(i,j) = sum(tempOut(i,j-halfKernel:j+halfKernel).*kernel_1)/sum_kernel_1;
-    end
-end
-
-
-%imshow(uint8(Dy));
diff --git a/SD-VBS/benchmarks/tracking/src/matlab/getInterpolatePatch.m b/SD-VBS/benchmarks/tracking/src/matlab/getInterpolatePatch.m
deleted file mode 100755
index d0a64d3..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/getInterpolatePatch.m
+++ /dev/null
@@ -1,22 +0,0 @@
-function [dstImg] = getInterpolatePatch(srcImg,rows, cols,centerX,centerY,winSize)

-

-a=centerX-floor(centerX);

-b=centerY-floor(centerY);

-a11=(1-a)*(1-b);

-a12=a*(1-b);

-a21=(1-a)*b;

-a22=a*b;

-

-for i=-winSize:winSize-1

-        srcIdxx=floor(centerY)+i;

-        dstIdxx=i+winSize+1;

-        for j=-winSize:winSize-1

-                srcIdx = srcIdxx * cols + floor(centerX) + j;

-                dstIdx = dstIdxx*2*winSize+j+winSize+1;

-                dstImg(dstIdx)=srcImg(srcIdxx, floor(centerX)+j)*a11;

-        dstImg(dstIdx)= dstImg(dstIdx) + srcImg(srcIdxx, floor(centerX)+j+1)*a12;

-        dstImg(dstIdx)= dstImg(dstIdx) + srcImg(srcIdxx+1, floor(centerX)+j)*a21;

-        dstImg(dstIdx)= dstImg(dstIdx) + srcImg(srcIdxx+1, floor(centerX)+j+1)*a22;

-    end

-end

-

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/getPyramid.m b/SD-VBS/benchmarks/tracking/src/matlab/getPyramid.m
deleted file mode 100755
index 845456a..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/getPyramid.m
+++ /dev/null
@@ -1,10 +0,0 @@
-function pyr=getPyramid(img, level)
-kernel=[1/16,1/4,3/8,1/4,1/16];
-pyr=cell(level,1);
-pyr{1}=double(img);
-for i=2:level
-%    imgBlur=conv2(pyr{i-1}, kernel, 'same');
-%    imgBlur=conv2(imgBlur, kernel, 'same');
-%    pyr{i}=imgBlur(1:2:end, 1:2:end);
-    pyr{i}=calcResizedImgMex(pyr{i-1});
-end
diff --git a/SD-VBS/benchmarks/tracking/src/matlab/imageBlur.m b/SD-VBS/benchmarks/tracking/src/matlab/imageBlur.m
deleted file mode 100755
index fd6c199..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/imageBlur.m
+++ /dev/null
@@ -1,36 +0,0 @@
-function imageOut = imageBlur(imageIn)

-

-imsize = size(imageIn);

-rows = imsize(1);

-cols = imsize(2);

-

-imageOut = zeros(rows, cols);%initalize output image to all zeros

-imageIn = double(imageIn);%convert to double to allow image arithmetic

-

-kernel = [1 4 6 4 1];

-kernelSize = 5;

-

-startCol = 3;       %((kernelSize+1)/2);

-endCol = cols - 2;  %round(cols - ((kernelSize+1)/2));

-halfKernel = 2;     %(kernelSize-1)/2;

-

-startRow = 3;       %((kernelSize+1)/2);

-endRow = rows - 2;  %(rows - ((kernelSize+1)/2));

-

-%% Start 1-D filtering row-wise first.

-

-tempOut = zeros(rows, cols);%initalize temp image to all zeros

-for i=startRow:endRow

-    for j=startCol:endCol

-        tempOut(i,j) = sum(imageIn(i,j-halfKernel:j+halfKernel).*kernel)/sum(kernel);%actual filtering step

-    end

-end

-

-%% Start 1-D filtering col-wise first.

-

-for i=startRow:endRow

-    for j=startCol:endCol

-    imageOut(i,j) = sum(tempOut(i-halfKernel:i+halfKernel,j).*kernel')/sum(kernel);%kernel to be transposed for performing multiplcation

-    end

-end

-

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/imageResize.m b/SD-VBS/benchmarks/tracking/src/matlab/imageResize.m
deleted file mode 100755
index e5fa7b8..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/imageResize.m
+++ /dev/null
@@ -1,50 +0,0 @@
-function [imageOut] = imageResize(imageIn)
-
- imageIn = double(imageIn);
- imsize = size(imageIn);
- rows = imsize(1);
- cols = imsize(2);
- 
- %% level 1 is the base image.
- 
- outputRows = floor((rows+1)/2);
- outputCols = floor((cols+1)/2);
- 
- kernel = [1,4,6,4,1];
- kernelSize = 5;
- 
- temp = zeros(rows, outputCols);%initalize output image to all zeros
- imageOut = zeros(outputRows, outputCols);%initalize output image to all zeros
- imageIn = double(imageIn);%convert to double to allow image arithmetic
- 
- initialCol = 3;        %((kernelSize+1)/2);
- endCol = cols - 2;     %round(cols - ((kernelSize+1)/2));
- halfKernel = 2;        %(kernelSize-1)/2;
- 
- initialRow = 3;        %((kernelSize+1)/2);
- endRow = rows - 2;     %(rows - ((kernelSize+1)/2));
-
- %% Start 1-D filtering row-wise first.
- 
- for i=initialRow:endRow
-     k = 1;
-     for j=initialCol:2:endCol
-         temp(i,k) = sum(imageIn(i,j-halfKernel:j+halfKernel).*kernel)/sum(kernel);%actual filtering step
-         k = k+1;
-     end
- end
- 
- %imshow(uint8(temp));
- 
- %% Start 1-D filtering col-wise first.
-% 
- kernelT = kernel';
- j = 1;
- for i=initialRow:2:endRow
-     for k=1:outputCols
-         imageOut(j,k) = sum(temp(i-halfKernel:i+halfKernel,k).*kernelT)/sum(kernel);%kernel to be transposed for performing multiplcation
-     end
-     j = j + 1;
- end
- 
-% %imshow(uint8(imageOut));
diff --git a/SD-VBS/benchmarks/tracking/src/matlab/rgb2gray_f2_f3.m b/SD-VBS/benchmarks/tracking/src/matlab/rgb2gray_f2_f3.m
deleted file mode 100755
index 23397a3..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/rgb2gray_f2_f3.m
+++ /dev/null
@@ -1,16 +0,0 @@
-%! _rgb2gray_f2_f3

-

-function grayImage = rgb2gray_f2_f3(colorImage)

-

-%0.2989 * R + 0.5870 * G + 0.1140 * B

-rows = size(colorImage, 1);

-cols = size(colorImage, 2);

-rgb = size(colorImage, 3);

-

-grayImage = zeros(rows, cols);

-for i = 1:rows

-    for j = 1:cols

-        grayImage(i,j) = 0.2989 * colorImage(i,j,1) + 0.5870 * colorImage(i,j,2) + 0.1140 * colorImage(i,j,3);

-    end

-end

-    
\ No newline at end of file
diff --git a/SD-VBS/benchmarks/tracking/src/matlab/script_run_profile.m b/SD-VBS/benchmarks/tracking/src/matlab/script_run_profile.m
deleted file mode 100755
index 62d367f..0000000
--- a/SD-VBS/benchmarks/tracking/src/matlab/script_run_profile.m
+++ /dev/null
@@ -1,178 +0,0 @@
-function script_run_profile(dataDir, resultDir, type, common, toolDir)
-
-if(~isdeployed)
-    addpath(fullfile(toolDir, '/lagrcv/'));
-    addpath(fullfile(toolDir, '/toolbox_basic/filter/'));
-    addpath(fullfile(toolDir, '/ikkjin/'));
-end
-IMAGE_DIR=dataDir;
-
-path(path,common); 
-
-tol = 2;
-
-%% Input params
-N_FEA=1600;
-WINSZ=4; %size of sum-up window
-NO_PYR=2;
-SUPPRESION_RADIUS=10;
-LK_ITER=20;
-counter = 2;
-accuracy = 0.03;
-
-if(strcmp(type,'test'))
-    WINSZ = 2;
-    N_FEA = 10;
-    LK_ITER = 2;
-    counter = 2;
-    accuracy = 0.1;
-elseif(strcmp(type, 'sim_fast'))
-    WINSZ = 2;
-    N_FEA = 100;
-    LK_ITER = 2;
-    counter = 4;
-elseif(strcmp(type,'sim'))
-    WINSZ = 2;
-    N_FEA = 200;
-    LK_ITER = 2;
-    counter = 4;
-elseif(strcmp(type,'sqcif'))
-    WINSZ = 8;
-    N_FEA = 500;
-    LK_ITER = 15;
-    counter = 2;
-elseif(strcmp(type, 'qcif'))
-    WINSZ = 12;
-    N_FEA = 400;
-    LK_ITER = 15;
-    counter = 4;
-elseif(strcmp(type,'cif'))
-    WINSZ = 20;
-    N_FEA = 500;
-    LK_ITER = 20;
-    counter = 4;
-elseif(strcmp(type, 'vga'))
-    WINSZ = 32;
-    N_FEA = 400;
-    LK_ITER = 20;
-    counter = 4;
-elseif(strcmp(type,'fullhd'))
-    WINSZ = 48;
-    N_FEA = 500;
-    LK_ITER = 20;
-    counter = 4;
-elseif(strcmp(type,'wuxga'))
-    WINSZ = 64;
-    N_FEA = 500;
-    LK_ITER = 20;
-    counter = 4;
-end
-
-imgName = [dataDir, '/1.bmp'];
-Icur=readImage(imgName);
-
-[rows,cols] = size(Icur);
-fprintf(1,'Input size\t\t- (%dx%d)\n', rows, cols);
-
-%% Timing
-start = photonStartTiming;
-
-Icur = imageBlur(double(Icur));
-
- Jpyr = cell(2,1);
- Jpyr{1} = Icur;
- Jpyr{2} = imageResize(Icur);
-
- [dX, dY] = calcSobel(double(Icur));
- sizeWin = size(dX);
- [lambda, tr, det, c_xx, c_xy, c_yy] = calcGoodFeature(dX, dY, sizeWin(2), sizeWin(1), WINSZ, dataDir);
-
-imgsz=size(lambda);
-lambda([1:WINSZ,end-WINSZ:end],:)=0;
-lambda(:,[1:WINSZ,end-WINSZ:end])=0;
-
-[temp,idx]=sort(lambda(:), 'descend');
-featureIdx=idx(1:N_FEA);
-features=zeros(3, N_FEA);
-features(1,:)=ceil(featureIdx/imgsz(1));
-
-fIdxT = featureIdx';
-features(2,:)=fIdxT-(features(1,:)-1)*imgsz(1);
-features(3,:)=lambda(featureIdx);
-
-for i=1:N_FEA
-    features(3,i) = lambda(idx(i));
-end
-
-f1T = features(1,:)';
-f2T = features(2,:)';
-f3T = features(3,:)';
-
-interestPnt=getANMS(f1T, f2T, f3T, SUPPRESION_RADIUS, dataDir);
-
-interestPnt=interestPnt';
-features=interestPnt(1:2,:);
-    
-%% Timing
-endC = photonEndTiming;
-elapsed = photonReportTiming(start, endC);
-
-for iter=1:counter
-    imgName = [dataDir, '/', num2str(iter),  '.bmp'];
-    Iprev=Icur;
-    Icur=readImage(imgName);
-    
-    %% Self check params
-    tol = 0.1;
-    %% Timing
-    start = photonStartTiming;
-
-    Icur = imageBlur(double(Icur));
-    
-    Ipyr=Jpyr;
-    
-    Jpyr = cell(2,1);
-    Jpyr{1} = Icur;
-    Jpyr{2} = imageResize(Icur);
-
-    dxPyr = cell(2,1);
-    dyPyr = cell(2,1);
-     
-    [dxPyr{1}, dyPyr{1}] = calcSobel(Jpyr{1});
-    [dxPyr{2}, dyPyr{2}] = calcSobel(Jpyr{2});
-    
-    sizeWin = size(dxPyr{2});
-    nFeatures = size(features);
-     
-    [newpoints, currStatus] = calcPyrLKTrack(Ipyr, dxPyr, dyPyr, Jpyr, double(features), nFeatures(2), WINSZ, 0.03, LK_ITER);
-    
-    newpoints=newpoints(:,find(currStatus));
-
-    %% Timing
-    stop = photonEndTiming;
-
-    temp = photonReportTiming(start, stop);
-    elapsed(1) = elapsed(1) + temp(1);
-    elapsed(2) = elapsed(2) + temp(2);
-
-%      figure(1);
-%      imagesc(Icur);colormap gray
-%      hold on;
-%      scatter(newpoints(1,:), newpoints(2,:), 'r+');
-%      hold off;    
-%      drawnow
-%     
-    features=newpoints;
-
-end
-    
-%% Self checking
-fWriteMatrix(features, dataDir);
-
-photonPrintTiming(elapsed);
-
-if(~isdeployed)
-    rmpath(fullfile(toolDir, '/lagrcv/'));
-    rmpath(fullfile(toolDir, '/toolbox_basic/filter/'));
-    rmpath(fullfile(toolDir, '/ikkjin/'));
-end