void BackgroundSubtractorMOG::operator()(const Mat& image, Mat& fgmask, double learningRate)
{
bool needToInitialize = nframes == 0 || learningRate >= 1 || image.size() != frameSize || image.type() != frameType;
if( needToInitialize )
initialize(image.size(), image.type());
CV_Assert( image.depth() == CV_8U );
fgmask.create( image.size(), CV_8U );
++nframes;
learningRate = learningRate >= 0 && nframes > 1 ? learningRate : 1./min( nframes, history );
CV_Assert(learningRate >= 0);
if( image.type() == CV_8UC1 )
process8uC1( *this, image, fgmask, learningRate );
else if( image.type() == CV_8UC3 )
process8uC3( *this, image, fgmask, learningRate );
else
CV_Error( CV_StsUnsupportedFormat, "Only 1- and 3-channel 8-bit images are supported in BackgroundSubtractorMOG" );
}
void BackgroundSubtractorMOG::operator()(InputArray _image, OutputArray _fgmask, double learningRate)
{
Mat image = _image.getMat();
bool needToInitialize = nframes == 0 || learningRate >= 1 || image.size() != frameSize || image.type() != frameType;
if( needToInitialize )
initialize(image.size(), image.type());
CV_Assert( image.depth() == CV_8U );
_fgmask.create( image.size(), CV_8U );
Mat fgmask = _fgmask.getMat();
++nframes;
learningRate = learningRate >= 0 && nframes > 1 ? learningRate : 1./min( nframes, history );
CV_Assert(learningRate >= 0);
if( image.type() == CV_8UC1 )
process8uC1( image, fgmask, learningRate, bgmodel, nmixtures, backgroundRatio, varThreshold, noiseSigma );
else if( image.type() == CV_8UC3 )
process8uC3( image, fgmask, learningRate, bgmodel, nmixtures, backgroundRatio, varThreshold, noiseSigma );
else
CV_Error( CV_StsUnsupportedFormat, "Only 1- and 3-channel 8-bit images are supported in BackgroundSubtractorMOG" );
}
