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#include "precomp.hpp"
#include "opencv2/video/video.hpp"

namespace cv
{

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(BackgroundSubtractorMOG, "BackgroundSubtractor.MOG",
    obj.info()->addParam(obj, "history", obj.history);
    obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
    obj.info()->addParam(obj, "backgroundRatio", obj.backgroundRatio);
    obj.info()->addParam(obj, "noiseSigma", obj.noiseSigma));

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(BackgroundSubtractorMOG2, "BackgroundSubtractor.MOG2",
    obj.info()->addParam(obj, "history", obj.history);
    obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
    obj.info()->addParam(obj, "varThreshold", obj.varThreshold);
    obj.info()->addParam(obj, "detectShadows", obj.bShadowDetection));

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(BackgroundSubtractorGMG, "BackgroundSubtractor.GMG",
                  obj.info()->addParam(obj, "maxFeatures", obj.maxFeatures,false,0,0,
                                       "Maximum number of features to store in histogram. Harsh enforcement of sparsity constraint.");
                  obj.info()->addParam(obj, "learningRate", obj.learningRate,false,0,0,
                                       "Adaptation rate of histogram. Close to 1, slow adaptation. Close to 0, fast adaptation, features forgotten quickly.");
                  obj.info()->addParam(obj, "initializationFrames", obj.numInitializationFrames,false,0,0,
                                       "Number of frames to use to initialize histograms of pixels.");
                  obj.info()->addParam(obj, "quantizationLevels", obj.quantizationLevels,false,0,0,
                                       "Number of discrete colors to be used in histograms. Up-front quantization.");
                  obj.info()->addParam(obj, "backgroundPrior", obj.backgroundPrior,false,0,0,
                                       "Prior probability that each individual pixel is a background pixel.");
                  obj.info()->addParam(obj, "smoothingRadius", obj.smoothingRadius,false,0,0,
                                       "Radius of smoothing kernel to filter noise from FG mask image.");
                  obj.info()->addParam(obj, "decisionThreshold", obj.decisionThreshold,false,0,0,
                                       "Threshold for FG decision rule. Pixel is FG if posterior probability exceeds threshold."));

bool initModule_video(void)
{
    bool all = true;
    all &= !BackgroundSubtractorMOG_info_auto.name().empty();
    all &= !BackgroundSubtractorMOG2_info_auto.name().empty();
    all &= !BackgroundSubtractorGMG_info_auto.name().empty();

    return all;
}

}
