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- /*
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- license. If you do not agree to this license, do not download, install,
- copy or use the software.
- License Agreement
- For Open Source Computer Vision Library
- (3-clause BSD License)
- Copyright (C) 2013, OpenCV Foundation, all rights reserved.
- Third party copyrights are property of their respective owners.
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
- * Redistributions of source code must retain the above copyright notice,
- this list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
- this list of conditions and the following disclaimer in the documentation
- and/or other materials provided with the distribution.
- * Neither the names of the copyright holders nor the names of the contributors
- may be used to endorse or promote products derived from this software
- without specific prior written permission.
- This software is provided by the copyright holders and contributors "as is" and
- any express or implied warranties, including, but not limited to, the implied
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- */
- #ifndef __OPENCV_OPTFLOW_MOTEMPL_HPP__
- #define __OPENCV_OPTFLOW_MOTEMPL_HPP__
- #include "opencv2/core.hpp"
- namespace cv
- {
- namespace motempl
- {
- //! @addtogroup optflow
- //! @{
- /** @brief Updates the motion history image by a moving silhouette.
- @param silhouette Silhouette mask that has non-zero pixels where the motion occurs.
- @param mhi Motion history image that is updated by the function (single-channel, 32-bit
- floating-point).
- @param timestamp Current time in milliseconds or other units.
- @param duration Maximal duration of the motion track in the same units as timestamp .
- The function updates the motion history image as follows:
- \f[\texttt{mhi} (x,y)= \forkthree{\texttt{timestamp}}{if \(\texttt{silhouette}(x,y) \ne 0\)}{0}{if \(\texttt{silhouette}(x,y) = 0\) and \(\texttt{mhi} < (\texttt{timestamp} - \texttt{duration})\)}{\texttt{mhi}(x,y)}{otherwise}\f]
- That is, MHI pixels where the motion occurs are set to the current timestamp , while the pixels
- where the motion happened last time a long time ago are cleared.
- The function, together with calcMotionGradient and calcGlobalOrientation , implements a motion
- templates technique described in @cite Davis97 and @cite Bradski00 .
- */
- CV_EXPORTS_W void updateMotionHistory( InputArray silhouette, InputOutputArray mhi,
- double timestamp, double duration );
- /** @brief Calculates a gradient orientation of a motion history image.
- @param mhi Motion history single-channel floating-point image.
- @param mask Output mask image that has the type CV_8UC1 and the same size as mhi . Its non-zero
- elements mark pixels where the motion gradient data is correct.
- @param orientation Output motion gradient orientation image that has the same type and the same
- size as mhi . Each pixel of the image is a motion orientation, from 0 to 360 degrees.
- @param delta1 Minimal (or maximal) allowed difference between mhi values within a pixel
- neighborhood.
- @param delta2 Maximal (or minimal) allowed difference between mhi values within a pixel
- neighborhood. That is, the function finds the minimum ( \f$m(x,y)\f$ ) and maximum ( \f$M(x,y)\f$ ) mhi
- values over \f$3 \times 3\f$ neighborhood of each pixel and marks the motion orientation at \f$(x, y)\f$
- as valid only if
- \f[\min ( \texttt{delta1} , \texttt{delta2} ) \le M(x,y)-m(x,y) \le \max ( \texttt{delta1} , \texttt{delta2} ).\f]
- @param apertureSize Aperture size of the Sobel operator.
- The function calculates a gradient orientation at each pixel \f$(x, y)\f$ as:
- \f[\texttt{orientation} (x,y)= \arctan{\frac{d\texttt{mhi}/dy}{d\texttt{mhi}/dx}}\f]
- In fact, fastAtan2 and phase are used so that the computed angle is measured in degrees and covers
- the full range 0..360. Also, the mask is filled to indicate pixels where the computed angle is
- valid.
- @note
- - (Python) An example on how to perform a motion template technique can be found at
- opencv_source_code/samples/python2/motempl.py
- */
- CV_EXPORTS_W void calcMotionGradient( InputArray mhi, OutputArray mask, OutputArray orientation,
- double delta1, double delta2, int apertureSize = 3 );
- /** @brief Calculates a global motion orientation in a selected region.
- @param orientation Motion gradient orientation image calculated by the function calcMotionGradient
- @param mask Mask image. It may be a conjunction of a valid gradient mask, also calculated by
- calcMotionGradient , and the mask of a region whose direction needs to be calculated.
- @param mhi Motion history image calculated by updateMotionHistory .
- @param timestamp Timestamp passed to updateMotionHistory .
- @param duration Maximum duration of a motion track in milliseconds, passed to updateMotionHistory
- The function calculates an average motion direction in the selected region and returns the angle
- between 0 degrees and 360 degrees. The average direction is computed from the weighted orientation
- histogram, where a recent motion has a larger weight and the motion occurred in the past has a
- smaller weight, as recorded in mhi .
- */
- CV_EXPORTS_W double calcGlobalOrientation( InputArray orientation, InputArray mask, InputArray mhi,
- double timestamp, double duration );
- /** @brief Splits a motion history image into a few parts corresponding to separate independent motions (for
- example, left hand, right hand).
- @param mhi Motion history image.
- @param segmask Image where the found mask should be stored, single-channel, 32-bit floating-point.
- @param boundingRects Vector containing ROIs of motion connected components.
- @param timestamp Current time in milliseconds or other units.
- @param segThresh Segmentation threshold that is recommended to be equal to the interval between
- motion history "steps" or greater.
- The function finds all of the motion segments and marks them in segmask with individual values
- (1,2,...). It also computes a vector with ROIs of motion connected components. After that the motion
- direction for every component can be calculated with calcGlobalOrientation using the extracted mask
- of the particular component.
- */
- CV_EXPORTS_W void segmentMotion( InputArray mhi, OutputArray segmask,
- CV_OUT std::vector<Rect>& boundingRects,
- double timestamp, double segThresh );
-
- //! @}
- }
- }
-
- #endif
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