Motion Saliency Algorithms

Algorithms belonging to this category, are particularly focused to detect salient objects over time (hence also over frame), then there is a temporal component sealing cosider that allows to detect “moving” objects as salient, meaning therefore also the more general sense of detection the changes in the scene.

Presently, the Fast Self-tuning Background Subtraction Algorithm [BinWangApr2014] has been implemented.

[BinWangApr2014]

Wang and P. Dudek “A Fast Self-tuning Background Subtraction Algorithm”, in proc of IEEE Workshop on Change Detection, 2014

MotionSaliencyBinWangApr2014

class MotionSaliencyBinWangApr2014

Implementation of MotionSaliencyBinWangApr2014 from MotionSaliency:

 class CV_EXPORTS MotionSaliencyBinWangApr2014 : public MotionSaliency
 {
  public:
    MotionSaliencyBinWangApr2014();
    ~MotionSaliencyBinWangApr2014();

   void setImagesize( int W, int H );
   bool init();

  protected:
   bool computeSaliencyImpl( const InputArray image, OutputArray saliencyMap );

};

MotionSaliencyBinWangApr2014::MotionSaliencyBinWangApr2014

Constructor

C++: MotionSaliencyBinWangApr2014::MotionSaliencyBinWangApr2014()

MotionSaliencyBinWangApr2014::setImagesize

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.

C++: void MotionSaliencyBinWangApr2014::setImagesize(int W, int H)

Parameters:

• W – width of input image
• H – height of input image

MotionSaliencyBinWangApr2014::init

This function allows the correct initialization of all data structures that will be used by the algorithm.

C++: bool MotionSaliencyBinWangApr2014::init()

MotionSaliencyBinWangApr2014::computeSaliencyImpl

Performs all the operations and calls all internal functions necessary for the accomplishment of the Fast Self-tuning Background Subtraction Algorithm algorithm.

C++: bool MotionSaliencyBinWangApr2014::computeSaliencyImpl(const InputArray image, OutputArray saliencyMap)

Parameters:

• 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).