| MATLAB File Help: cv.MotionSaliencyBinWangApr2014 | Index |
A Fast Self-tuning Background Subtraction Algorithm for Motion Saliency
Implementation of MotionSaliencyBinWangApr2014 for Motion Saliency.
Many computer vision applications may benefit from understanding where humans focus given a scene. Other than cognitively understanding the way human perceive images and scenes, finding salient regions and objects in the images helps various tasks such as speeding up object detection, object recognition, object tracking and content-aware image editing.
About the saliency, there is a rich literature but the development is very fragmented. The principal purpose of this API is to give a unique interface, a unique framework for use and plug sever saliency algorithms, also with very different nature and methodology, but they share the same purpose, organizing algorithms into three main categories:
Saliency UML diagram: <<http://docs.opencv.org/3.1.0/saliency.png>>
To see how API works, try tracker demo: computeSaliency_demo.m.
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]:
Bin Wang and Piotr Dudek. "A Fast Self-tuning Background Subtraction Algorithm". In Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on, pages 401-404. IEEE, 2014.
| Superclasses | handle |
| Sealed | false |
| Construct on load | false |
| MotionSaliencyBinWangApr2014 | Constructor, creates a specialized saliency algorithm of this type |
| ImageHeight | Height of input image. |
| ImageWidth | Width of input image. |
| id | Object ID |
| addlistener | Add listener for event. | |
| clear | Clears the algorithm state | |
| computeSaliency | Compute the saliency | |
| delete | Destructor | |
| empty | Checks if detector object is empty. | |
| eq | == (EQ) Test handle equality. | |
| findobj | Find objects matching specified conditions. | |
| findprop | Find property of MATLAB handle object. | |
| ge | >= (GE) Greater than or equal relation for handles. | |
| getClassName | Get the name of the specific saliency type | |
| getDefaultName | Returns the algorithm string identifier | |
| gt | > (GT) Greater than relation for handles. | |
| init | This function allows the correct initialization of all data structures that will be used by the algorithm | |
| Sealed | isvalid | Test handle validity. |
| le | <= (LE) Less than or equal relation for handles. | |
| load | Loads algorithm from a file or a string | |
| lt | < (LT) Less than relation for handles. | |
| ne | ~= (NE) Not equal relation for handles. | |
| notify | Notify listeners of event. | |
| save | Saves the algorithm parameters to a file | |
| 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. |
