mirror of
https://github.com/opencv/opencv.git
synced 2024-11-28 13:10:12 +08:00
added docs for GMG_GPU
This commit is contained in:
parent
ace7e9d842
commit
77cae11a74
@ -649,6 +649,114 @@ Releases all inner buffer's memory.
|
||||
|
||||
|
||||
|
||||
gpu::GMG_GPU
|
||||
------------
|
||||
.. ocv:class:: gpu::GMG_GPU
|
||||
|
||||
Class used for background/foreground segmentation. ::
|
||||
|
||||
class GMG_GPU_GPU
|
||||
{
|
||||
public:
|
||||
GMG_GPU();
|
||||
|
||||
void initialize(Size frameSize, float min = 0.0f, float max = 255.0f);
|
||||
|
||||
void operator ()(const GpuMat& frame, GpuMat& fgmask, float learningRate = -1.0f, Stream& stream = Stream::Null());
|
||||
|
||||
void release();
|
||||
|
||||
int maxFeatures;
|
||||
float learningRate;
|
||||
int numInitializationFrames;
|
||||
int quantizationLevels;
|
||||
float backgroundPrior;
|
||||
float decisionThreshold;
|
||||
int smoothingRadius;
|
||||
|
||||
...
|
||||
};
|
||||
|
||||
The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [GMG2012]_.
|
||||
|
||||
Here are important members of the class that control the algorithm, which you can set after constructing the class instance:
|
||||
|
||||
.. ocv:member:: int maxFeatures
|
||||
|
||||
Total number of distinct colors to maintain in histogram.
|
||||
|
||||
.. ocv:member:: float learningRate
|
||||
|
||||
Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
|
||||
|
||||
.. ocv:member:: int numInitializationFrames
|
||||
|
||||
Number of frames of video to use to initialize histograms.
|
||||
|
||||
.. ocv:member:: int quantizationLevels
|
||||
|
||||
Number of discrete levels in each channel to be used in histograms.
|
||||
|
||||
.. ocv:member:: float backgroundPrior
|
||||
|
||||
Prior probability that any given pixel is a background pixel. A sensitivity parameter.
|
||||
|
||||
.. ocv:member:: float decisionThreshold
|
||||
|
||||
Value above which pixel is determined to be FG.
|
||||
|
||||
.. ocv:member:: float smoothingRadius
|
||||
|
||||
Smoothing radius, in pixels, for cleaning up FG image.
|
||||
|
||||
|
||||
|
||||
gpu::GMG_GPU::GMG_GPU
|
||||
---------------------
|
||||
The default constructor.
|
||||
|
||||
.. ocv:function:: gpu::GMG_GPU::GMG_GPU()
|
||||
|
||||
Default constructor sets all parameters to default values.
|
||||
|
||||
|
||||
|
||||
gpu::GMG_GPU::initialize
|
||||
------------------------
|
||||
Initialize background model and allocates all inner buffers.
|
||||
|
||||
.. ocv:function:: void gpu::GMG_GPU::initialize(Size frameSize, float min = 0.0f, float max = 255.0f)
|
||||
|
||||
:param frameSize: Input frame size.
|
||||
|
||||
:param min: Minimum value taken on by pixels in image sequence. Usually 0.
|
||||
|
||||
:param max: Maximum value taken on by pixels in image sequence, e.g. 1.0 or 255.
|
||||
|
||||
|
||||
|
||||
gpu::GMG_GPU::operator()
|
||||
------------------------
|
||||
Updates the background model and returns the foreground mask
|
||||
|
||||
.. ocv:function:: void gpu::GMG_GPU::operator()(const GpuMat& frame, GpuMat& fgmask, Stream& stream = Stream::Null())
|
||||
|
||||
:param frame: Next video frame.
|
||||
|
||||
:param fgmask: The output foreground mask as an 8-bit binary image.
|
||||
|
||||
:param stream: Stream for the asynchronous version.
|
||||
|
||||
|
||||
|
||||
gpu::GMG_GPU::release
|
||||
---------------------
|
||||
Releases all inner buffer's memory.
|
||||
|
||||
.. ocv:function:: void gpu::GMG_GPU::release()
|
||||
|
||||
|
||||
|
||||
gpu::VideoWriter_GPU
|
||||
---------------------
|
||||
Video writer class.
|
||||
@ -1093,3 +1201,4 @@ Parse next video frame. Implementation must call this method after new frame was
|
||||
.. [MOG2004] Z. Zivkovic. *Improved adaptive Gausian mixture model for background subtraction*. International Conference Pattern Recognition, UK, August, 2004
|
||||
.. [ShadowDetect2003] Prati, Mikic, Trivedi and Cucchiarra. *Detecting Moving Shadows...*. IEEE PAMI, 2003
|
||||
.. [VIBE2011] O. Barnich and M. Van D Roogenbroeck. *ViBe: A universal background subtraction algorithm for video sequences*. IEEE Transactions on Image Processing, 20(6) :1709-1724, June 2011
|
||||
.. [GMG2012] A. Godbehere, A. Matsukawa and K. Goldberg. *Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation*. American Control Conference, Montreal, June 2012
|
||||
|
@ -2160,25 +2160,25 @@ public:
|
||||
void release();
|
||||
|
||||
//! Total number of distinct colors to maintain in histogram.
|
||||
int maxFeatures;
|
||||
int maxFeatures;
|
||||
|
||||
//! Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
|
||||
float learningRate;
|
||||
float learningRate;
|
||||
|
||||
//! Number of frames of video to use to initialize histograms.
|
||||
int numInitializationFrames;
|
||||
int numInitializationFrames;
|
||||
|
||||
//! Number of discrete levels in each channel to be used in histograms.
|
||||
int quantizationLevels;
|
||||
int quantizationLevels;
|
||||
|
||||
//! Prior probability that any given pixel is a background pixel. A sensitivity parameter.
|
||||
float backgroundPrior;
|
||||
float backgroundPrior;
|
||||
|
||||
//! value above which pixel is determined to be FG.
|
||||
float decisionThreshold;
|
||||
float decisionThreshold;
|
||||
|
||||
//! smoothing radius, in pixels, for cleaning up FG image.
|
||||
int smoothingRadius;
|
||||
int smoothingRadius;
|
||||
|
||||
private:
|
||||
float maxVal_, minVal_;
|
||||
|
Loading…
Reference in New Issue
Block a user