[−][src]Module opencv::video
Structs
| KalmanFilter | Kalman filter class. |
Constants
| MOTION_AFFINE | |
| MOTION_EUCLIDEAN | |
| MOTION_HOMOGRAPHY | |
| MOTION_TRANSLATION | |
| OPTFLOW_FARNEBACK_GAUSSIAN | |
| OPTFLOW_LK_GET_MIN_EIGENVALS | |
| OPTFLOW_USE_INITIAL_FLOW |
Traits
| BackgroundSubtractor | Base class for background/foreground segmentation. : |
| BackgroundSubtractorKNN | K-nearest neighbours - based Background/Foreground Segmentation Algorithm. |
| BackgroundSubtractorMOG2 | Gaussian Mixture-based Background/Foreground Segmentation Algorithm. |
| DenseOpticalFlow | |
| DualTVL1OpticalFlow | "Dual TV L1" Optical Flow Algorithm. |
| FarnebackOpticalFlow | Class computing a dense optical flow using the Gunnar Farneback's algorithm. |
| SparseOpticalFlow | Base interface for sparse optical flow algorithms. |
| SparsePyrLKOpticalFlow | Class used for calculating a sparse optical flow. |
Functions
| build_optical_flow_pyramid | Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK. |
| calc_optical_flow_farneback | Computes a dense optical flow using the Gunnar Farneback's algorithm. |
| calc_optical_flow_pyr_lk | Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids. |
| cam_shift | Finds an object center, size, and orientation. |
| compute_ecc | Computes the Enhanced Correlation Coefficient value between two images EP08 . |
| create_background_subtractor_knn | Creates KNN Background Subtractor |
| create_background_subtractor_mog2 | Creates MOG2 Background Subtractor |
| create_opt_flow_dual_tvl1 | Creates instance of cv::DenseOpticalFlow |
| estimate_rigid_transform | Computes an optimal affine transformation between two 2D point sets. |
| estimate_rigid_transform_1 | |
| find_transform_ecc | Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 . |
| find_transform_ecc_1 | Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 . |
| mean_shift | Finds an object on a back projection image. |