the Fast Self-tuning Background Subtraction Algorithm from [BinWangApr2014] More...
#include <opencv2/saliency/saliencySpecializedClasses.hpp>
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Public Member Functions | |
MotionSaliencyBinWangApr2014 () | |
virtual | ~MotionSaliencyBinWangApr2014 () |
bool | computeSaliency (InputArray image, OutputArray saliencyMap) |
int | getImageHeight () const |
int | getImageWidth () const |
bool | init () |
This function allows the correct initialization of all data structures that will be used by the algorithm. | |
void | setImageHeight (int val) |
void | setImagesize (int W, int H) |
This is a utility function that allows to set the correct size (taken from the input image) in the corresponding variables that will be used to size the data structures of the algorithm. | |
void | setImageWidth (int val) |
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virtual | ~Saliency () |
Destructor. | |
bool | computeSaliency (InputArray image, OutputArray saliencyMap) |
Compute the saliency. | |
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Algorithm () | |
virtual | ~Algorithm () |
virtual void | clear () |
Clears the algorithm state. | |
virtual bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. | |
virtual String | getDefaultName () const |
virtual void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage. | |
virtual void | save (const String &filename) const |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage. | |
void | write (FileStorage &fs, const String &name) const |
Static Public Member Functions | |
static Ptr< MotionSaliencyBinWangApr2014 > | create () |
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template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. | |
Protected Member Functions | |
bool | computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE |
Performs all the operations and calls all internal functions necessary for the accomplishment of the Fast Self-tuning Background Subtraction Algorithm algorithm. | |
virtual bool | computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE=0 |
virtual bool | computeSaliencyImpl (InputArray image, OutputArray saliencyMap)=0 |
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void | writeFormat (FileStorage &fs) const |
Additional Inherited Members | |
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String | className |
Detailed Description
the Fast Self-tuning Background Subtraction Algorithm from [BinWangApr2014]
A Fast Self-tuning Background Subtraction Algorithm.
This background subtraction algorithm is inspired to the work of B. Wang and P. Dudek [2] [2] B. Wang and P. Dudek "A Fast Self-tuning Background Subtraction Algorithm", in proc of IEEE Workshop on Change Detection, 2014
Constructor & Destructor Documentation
◆ MotionSaliencyBinWangApr2014()
cv::saliency::MotionSaliencyBinWangApr2014::MotionSaliencyBinWangApr2014 | ( | ) |
◆ ~MotionSaliencyBinWangApr2014()
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virtual |
Member Function Documentation
◆ computeSaliency()
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inline |
◆ computeSaliencyImpl()
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protectedvirtual |
Performs all the operations and calls all internal functions necessary for the accomplishment of the Fast Self-tuning Background Subtraction Algorithm algorithm.
- Parameters
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image input image. According to the needs of this specialized algorithm, the param image is a single Mat. saliencyMap Saliency Map. Is a binarized map that, in accordance with the nature of the algorithm, highlights the moving objects or areas of change in the scene. The saliency map is given by a single Mat (one for each frame of an hypothetical video stream).
Implements cv::saliency::MotionSaliency.
◆ create()
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inlinestatic |
◆ getImageHeight()
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inline |
◆ getImageWidth()
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inline |
◆ init()
bool cv::saliency::MotionSaliencyBinWangApr2014::init | ( | ) |
This function allows the correct initialization of all data structures that will be used by the algorithm.
◆ setImageHeight()
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inline |
◆ setImagesize()
void cv::saliency::MotionSaliencyBinWangApr2014::setImagesize | ( | int | W, |
int | H | ||
) |
This is a utility function that allows to set the correct size (taken from the input image) in the corresponding variables that will be used to size the data structures of the algorithm.
- Parameters
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W width of input image H height of input image
◆ setImageWidth()
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inline |
The documentation for this class was generated from the following file:
- opencv2/saliency/saliencySpecializedClasses.hpp