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| GMat | cv::gapi::BackgroundSubtractor (const GMat &src, const cv::gapi::video::BackgroundSubtractorParams &bsParams) |
| | 基於高斯混合或 K 近鄰的背景/前景分割演算法。 該操作生成前景掩碼。
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| std::tuple< GArray< GMat >, GScalar > | cv::gapi::buildOpticalFlowPyramid (const GMat &img, const Size &winSize, const GScalar &maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true) |
| | 構造影像金字塔,可以將其傳遞給 calcOpticalFlowPyrLK。
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| std::tuple< GArray< Point2f >, GArray< uchar >, GArray< float > > | cv::gapi::calcOpticalFlowPyrLK (const GArray< GMat > &prevPyr, const GArray< GMat > &nextPyr, const GArray< Point2f > &prevPts, const GArray< Point2f > &predPts, const Size &winSize=Size(21, 21), const GScalar &maxLevel=3, const TermCriteria &criteria=TermCriteria(TermCriteria::COUNT|TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThresh=1e-4) |
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| std::tuple< GArray< Point2f >, GArray< uchar >, GArray< float > > | cv::gapi::calcOpticalFlowPyrLK (const GMat &prevImg, const GMat &nextImg, const GArray< Point2f > &prevPts, const GArray< Point2f > &predPts, const Size &winSize=Size(21, 21), const GScalar &maxLevel=3, const TermCriteria &criteria=TermCriteria(TermCriteria::COUNT|TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThresh=1e-4) |
| | 使用帶金字塔的迭代 Lucas-Kanade 方法計算稀疏特徵集的光流。
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| void | cv::gapi::video::checkParams (const cv::gapi::KalmanParams &kfParams, const cv::GMatDesc &measurement, const cv::GMatDesc &control={}) |
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| | cv::gapi::video::G_TYPED_KERNEL (GBackgroundSubtractor,< GMat(GMat, BackgroundSubtractorParams)>, "org.opencv.video.BackgroundSubtractor") |
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| | cv::gapi::video::G_TYPED_KERNEL (GBuildOptFlowPyramid,< GBuildPyrOutput(GMat, Size, GScalar, bool, int, int, bool)>, "org.opencv.video.buildOpticalFlowPyramid") |
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| | cv::gapi::video::G_TYPED_KERNEL (GCalcOptFlowLK,< GOptFlowLKOutput(GMat, GMat, cv::GArray< cv::Point2f >, cv::GArray< cv::Point2f >, Size, GScalar, TermCriteria, int, double)>, "org.opencv.video.calcOpticalFlowPyrLK") |
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| | cv::gapi::video::G_TYPED_KERNEL (GCalcOptFlowLKForPyr,< GOptFlowLKOutput(cv::GArray< cv::GMat >, cv::GArray< cv::GMat >, cv::GArray< cv::Point2f >, cv::GArray< cv::Point2f >, Size, GScalar, TermCriteria, int, double)>, "org.opencv.video.calcOpticalFlowPyrLKForPyr") |
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| | cv::gapi::video::G_TYPED_KERNEL (GKalmanFilter,< GMat(GMat, GOpaque< bool >, GMat, KalmanParams)>, "org.opencv.video.KalmanFilter") |
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| GMat | cv::gapi::KalmanFilter (const GMat &measurement, const GOpaque< bool > &haveMeasurement, const cv::gapi::KalmanParams &kfParams) |
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| GMat | cv::gapi::KalmanFilter (const GMat &measurement, const GOpaque< bool > &haveMeasurement, const GMat &control, const cv::gapi::KalmanParams &kfParams) |
| | 標準卡爾曼濾波器演算法 http://en.wikipedia.org/wiki/Kalman_filter。
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