void HOF::getROIDescription(Mat & featureDescription,
const SourcesMap & sources,
const vector<Rect> & roi)
{
bool hasOpticalFlowAsSource = (0 < sources.count(SOURCE_OPTICAL_FLOW));
bool hasImagesPairAsSource = (0 < sources.count(SOURCE_FIRST_IMAGE) &&
0 < sources.count(SOURCE_SECOND_IMAGE));
CV_Assert(hasImagesPairAsSource || hasOpticalFlowAsSource);
Mat opticalFlow;
if (hasOpticalFlowAsSource)
{
opticalFlow = sources.at(SOURCE_OPTICAL_FLOW);
}
else // if (hasImagesPairAsSource)
{
Mat image1, image2;
cvtColor(sources.at(SOURCE_FIRST_IMAGE), image1, CV_BGR2GRAY);
cvtColor(sources.at(SOURCE_SECOND_IMAGE), image2, CV_BGR2GRAY);
opticalFlowComputer->calc(image1, image2, opticalFlow);
}
featureDescription.create(roi.size(), featureVectorLength, CV_32F);
for (size_t t = 0; t < roi.size(); ++t)
{
const Rect & r = roi[t];
CV_Assert(0 < r.width);
CV_Assert(0 < r.height);
Mat opticalFlowROI;
getROI(opticalFlow, opticalFlowROI, r);
resize(opticalFlowROI, opticalFlowROI,
Size(params.winSizeW, params.winSizeH));
SourcesMap imageSource;
imageSource[SOURCE_OPTICAL_FLOW] = opticalFlowROI;
computeOnNewImage(imageSource);
computeOnNewScale(1.0f);
Mat featureDescriptionRow = featureDescription.row(t);
getFeatureVector(0, 0, featureDescriptionRow);
}
}
void HOF::computeOnNewImage(const SourcesMap & sources)
{
bool hasOpticalFlowAsSource = (0 < sources.count(SOURCE_OPTICAL_FLOW));
bool hasImagesPairAsSource = (0 < sources.count(SOURCE_FIRST_IMAGE) &&
0 < sources.count(SOURCE_SECOND_IMAGE));
CV_Assert(hasOpticalFlowAsSource || hasImagesPairAsSource);
if (hasOpticalFlowAsSource)
{
sources.at(SOURCE_OPTICAL_FLOW).copyTo(flow);
}
else if (hasImagesPairAsSource)
{
Mat firstImage;
cvtColor(sources.at(SOURCE_FIRST_IMAGE), firstImage, CV_BGR2GRAY);
cvtColor(sources.at(SOURCE_SECOND_IMAGE), secondImage, CV_BGR2GRAY);
CV_Assert(firstImage.size == secondImage.size);
opticalFlowComputer->calc(firstImage, secondImage, flow);
}
}