Method Initialize

src/Tracker/dat/dat_tracker.cpp:29–83

\brief DAT_TRACKER::tracker_dat_initialize \param I \param region

/// \param region
///
void DAT_TRACKER::Initialize(const cv::Mat &im, cv::Rect region)
{
    double cx = region.x + double(region.width - 1) / 2.0;
    double cy = region.y + double(region.height - 1) / 2.0;
    double w = region.width;
    double h = region.height;

    cv::Point target_pos(round(cx),round(cy));
    cv::Size target_sz(round(w),round(h));

    scale_factor_ = std::min(1.0, round(10.0 * double(cfg.img_scale_target_diagonal) / cv::norm(cv::Point(target_sz.width,target_sz.height))) / 10.0);
    target_pos.x = target_pos.x * scale_factor_; target_pos.y = target_pos.y * scale_factor_;
    target_sz.width = target_sz.width * scale_factor_; target_sz.height = target_sz.height * scale_factor_;

    cv::Mat img;
    cv::resize(im, img, cv::Size(), scale_factor_, scale_factor_);
    switch (cfg.color_space) {
    case 1: //1rgb
		if (img.channels() == 1)
		{
			cv::cvtColor(img, img, cv::COLOR_GRAY2BGR);
		}
        break;
    case 2: //2lab
        cv::cvtColor(img, img, cv::COLOR_BGR2Lab);
        break;
    case 3: //3hsv
        cv::cvtColor(img, img, cv::COLOR_BGR2HSV);
        break;
    case 4: //4gray
		if (img.channels() == 3)
		{
			cv::cvtColor(img, img, cv::COLOR_BGR2GRAY);
		}
        break;
    default:
        std::cout << "int_variable does not equal any of the above cases" << std::endl;
    }
    cv::Size surr_sz(floor(cfg.surr_win_factor * target_sz.width),
                     floor(cfg.surr_win_factor * target_sz.height));
    cv::Rect surr_rect = pos2rect(target_pos, surr_sz, img.size());
    cv::Rect obj_rect_surr = pos2rect(target_pos, target_sz, img.size());
    obj_rect_surr.x -= surr_rect.x;
    obj_rect_surr.y -= surr_rect.y;
    cv::Mat surr_win = getSubwindow(img, target_pos, surr_sz);
    cv::Mat prob_map;
    getForegroundBackgroundProbs(surr_win, obj_rect_surr, cfg.num_bins, cfg.bin_mapping, prob_lut_, prob_map);

    prob_lut_distractor_ = prob_lut_.clone();
    prob_lut_masked_ = prob_lut_.clone();
    adaptive_threshold_ = getAdaptiveThreshold(prob_map, obj_rect_surr);

    target_pos_history_.push_back(cv::Point(target_pos.x / scale_factor_, target_pos.y / scale_factor_));
    target_sz_history_.push_back(cv::Size(target_sz.width / scale_factor_, target_sz.height / scale_factor_));
}

///
/// \brief DAT_TRACKER::tracker_dat_update