OpenCV Foreground Detection slow

Question

I am trying to implement the codebook foreground detection algorithm described here in OpenCV Training .

The algorithm describes only a codebook based approach for each pixel in the image. So I took the simplest approach that came to my mind - to have an array of code books, one for each pixel, like the matrix structure that underlies IplImage. The length of the array is equal to the number of pixels in the image.

I wrote the following two loops to study the background and segment the foreground. It uses my limited understanding of the matrix structure inside an src image and uses pointer arithmetic to move pixels.

  void foreground(IplImage* src, IplImage* dst, codeBook* c, int* minMod, int* maxMod){

 int height = src->height;
 int width = src->width;

 uchar* srcCurrent = (uchar*) src->imageData;
 uchar* srcRowHead = srcCurrent;
 int srcChannels = src->nChannels;
 int srcRowWidth = src->widthStep;

 uchar* dstCurrent = (uchar*) dst->imageData;
 uchar* dstRowHead = dstCurrent;
 // dst has 1 channel
 int dstRowWidth = dst->widthStep;

 for(int row = 0; row < height; row++){
  for(int column = 0; column < width; column++){
   (*dstCurrent) = find_foreground(srcCurrent, (*c), srcChannels, minMod, maxMod);
   dstCurrent++;
   c++;
   srcCurrent += srcChannels;
  }
  srcCurrent = srcRowHead + srcRowWidth;
  srcRowHead = srcCurrent;
  dstCurrent = dstRowHead + dstRowWidth;
  dstRowHead = dstCurrent;
 }
}

void background(IplImage* src, codeBook* c, unsigned* learnBounds){

 int height = src->height;
 int width = src->width;

 uchar* srcCurrent = (uchar*) src->imageData;
 uchar* srcRowHead = srcCurrent;
 int srcChannels = src->nChannels;
 int srcRowWidth = src->widthStep;

 for(int row = 0; row < height; row++){
  for(int column = 0; column < width; column++){
   update_codebook(srcCurrent, c[row*column], learnBounds, srcChannels);
   srcCurrent += srcChannels;
  }
  srcCurrent = srcRowHead + srcRowWidth;
  srcRowHead = srcCurrent;
 }
}

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Answer 1

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