| MATLAB File Help: cv.BackgroundSubtractorKNN | Index |
K-nearest neigbours based Background/Foreground Segmentation Algorithm
The class implements the K-nearest neigbours background subtraction described in [Zivkovic2006]. Very efficient if number of foreground pixels is low.
[Zivkovic2006]:
Zoran Zivkovic and Ferdinand van der Heijden. "Efficient adaptive density estimation per image pixel for the task of background subtraction". Pattern recognition letters, 27(7):773-780, 2006.
[Prati03detectingmoving]:
Andrea Prati, Ivana Mikic, Mohan M. Trivedi, Rita Cucchiara. "Detecting Moving Shadows: Algorithms and Evaluation", IEEE PAMI, 2003.
| Superclasses | handle |
| Sealed | false |
| Construct on load | false |
| BackgroundSubtractorKNN | Creates KNN Background Subtractor |
| DetectShadows | The shadow detection flag. |
| Dist2Threshold | The threshold on the squared distance between the pixel and the |
| History | The number of last frames that affect the background model. |
| KNNSamples | The number of neighbours, the k in the kNN. |
| NSamples | The number of data samples in the background model. |
| ShadowThreshold | The shadow threshold. |
| ShadowValue | Shadow value is the value used to mark shadows in the foreground |
| id | Object ID |
| addlistener | Add listener for event. | |
| apply | Updates the background model and computes the foreground mask | |
| delete | Destructor | |
| 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. | |
| getBackgroundImage | Computes a foreground mask | |
| gt | > (GT) Greater than relation for handles. | |
| Sealed | isvalid | Test handle validity. |
| le | <= (LE) Less than or equal relation for handles. | |
| lt | < (LT) Less than relation for handles. | |
| ne | ~= (NE) Not equal relation for handles. | |
| notify | Notify listeners of event. |