我正在使用OpenCV 2.3.1
和Qt
,我遇到cv::calcOpticalFlowPyrLK
的问题。我正在使用oodFeaturesToTrack
和calcOpticalFlowPyrLK
来跟踪我之前检测到的脸部。
std::vector<cv::Point2f> Feat;
GrayFrame=FrameBuffer->GetFrame();
cv::goodFeaturesToTrack(GrayFrame,
Feat,
maxcorners,
qualitylevel,
mindistance);
while(1){
std::vector<cv::Point2f> NewFeat;
std::vector<uchar> status;
std::vector<float> err;
GrayFramePrev=GrayFrame.clone();
GrayFrame=FrameBuffer->GetFrame();
cv::calcOpticalFlowPyrLK(GrayFramePrev,
GrayFrame,
Feat,
NewFeat,
status,
err);
Feat=NewFeat;
}//while(1)
GrayFrame
从缓冲区中获取图片,其中我存储从网络摄像头捕获的图像GrayFrame
和GrayFramePrev
在c (GrayFrame -> FrameBuffer[i], GrayFramePrev -> FrameBuffer[i-1])
时包含正确的图像v::calcOpticalFlowPyrLK
{1}}和Feat参数包含goodFeaturesToTrack
的点数。但是当执行calcOpticalFlowPyrLK
时,它会通过NewFeat返回完全相同的点。
请告诉我`calcOpticalFlowPyrLK
我使用了以下参数并且它有效(我可能混淆了Feat和NewFeat,所以这就是问题所在。)
cv::calcOpticalFlowPyrLK(GreyFramePrev,
GreyFrame,
Feat,
NewFeat,
status,
err,
*WinSize,
maxLevel,
*TermCrit,
derivLamda,
LKflags,
minEigThreshold);
参数值
WinSize= new cv::Size(31,31);
maxLevel=3;
TermCrit= new cv::TermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03);
derivLamda=0;
LKflags=0;
minEigThreshold=0.001;