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Step 1: follow this to setup your opencv camera

Step 2: add this code to processImage delegate

- (void)processImage:(cv::Mat&)image
{
      //process here
      cv::cvtColor(image, img, cv::COLOR_BGRA2RGB);
      int fixedWidth = 270;
     cv::resize(img, img, cv::Size(fixedWidth,(int)((fixedWidth*1.0f)*   (image.rows/(image.cols*1.0f)))),cv::INTER_NEAREST);

    //update the model
    bg_model->apply(img, fgmask, update_bg_model ? -1 : 0);

    GaussianBlur(fgmask, fgmask, cv::Size(7, 7), 2.5, 2.5);
    threshold(fgmask, fgmask, 10, 255, cv::THRESH_BINARY);

    fgimg = cv::Scalar::all(0);
    img.copyTo(image, fgmask);
}

You'll need to declare following as global variable

cv::Mat img, fgmask;
cv::Ptr<cv::BackgroundSubtractor> bg_model;
bool update_bg_model;

Where, img <- smaller image fgmask <- the mask denotes that where motion is happening update_bg_model <- if you want to fixed your background;

step 3: follow this to learn more.

Step 1: follow this to setup your opencv camera

Step 2: add this code to processImage delegate

- (void)processImage:(cv::Mat&)image
{
      //process here
      cv::cvtColor(image, img, cv::COLOR_BGRA2RGB);
      int fixedWidth = 270;
     cv::resize(img, img, cv::Size(fixedWidth,(int)((fixedWidth*1.0f)*   (image.rows/(image.cols*1.0f)))),cv::INTER_NEAREST);

    //update the model
    bg_model->apply(img, fgmask, update_bg_model ? -1 : 0);

    GaussianBlur(fgmask, fgmask, cv::Size(7, 7), 2.5, 2.5);
    threshold(fgmask, fgmask, 10, 255, cv::THRESH_BINARY);

    fgimg image = cv::Scalar::all(0);
    img.copyTo(image, fgmask);
}

You'll need to declare following as global variable

cv::Mat img, fgmask;
cv::Ptr<cv::BackgroundSubtractor> bg_model;
bool update_bg_model;

Where, img <- smaller image fgmask <- the mask denotes that where motion is happening update_bg_model <- if you want to fixed your background;

step 3: follow this to learn more.