OpenCV  5.0.0-pre
Open Source Computer Vision
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cv::detail::tracking::TrackerSamplerCSC Class Reference

TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More...

#include <opencv2/video/detail/tracking.detail.hpp>

Inheritance diagram for cv::detail::tracking::TrackerSamplerCSC:
cv::detail::tracking::TrackerSamplerAlgorithm

Classes

struct  Params
 

Public Types

enum  MODE {
  MODE_INIT_POS = 1,
  MODE_INIT_NEG = 2,
  MODE_TRACK_POS = 3,
  MODE_TRACK_NEG = 4,
  MODE_DETECT = 5
}
 

Public Member Functions

 TrackerSamplerCSC (const TrackerSamplerCSC::Params &parameters=TrackerSamplerCSC::Params())
 Constructor. More...
 
 ~TrackerSamplerCSC ()
 
bool sampling (const Mat &image, const Rect &boundingBox, std::vector< Mat > &sample) CV_OVERRIDE
 Computes the regions starting from a position in an image. More...
 
void setMode (int samplingMode)
 Set the sampling mode of TrackerSamplerCSC. More...
 
- Public Member Functions inherited from cv::detail::tracking::TrackerSamplerAlgorithm
virtual ~TrackerSamplerAlgorithm ()
 

Detailed Description

TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL.

Member Enumeration Documentation

◆ MODE

Enumerator
MODE_INIT_POS 

mode for init positive samples

MODE_INIT_NEG 

mode for init negative samples

MODE_TRACK_POS 

mode for update positive samples

MODE_TRACK_NEG 

mode for update negative samples

MODE_DETECT 

mode for detect samples

Constructor & Destructor Documentation

◆ ~TrackerSamplerCSC()

cv::detail::tracking::TrackerSamplerCSC::~TrackerSamplerCSC ( )

◆ TrackerSamplerCSC()

cv::detail::tracking::TrackerSamplerCSC::TrackerSamplerCSC ( const TrackerSamplerCSC::Params parameters = TrackerSamplerCSC::Params())

Constructor.

Parameters
parametersTrackerSamplerCSC parameters TrackerSamplerCSC::Params

Member Function Documentation

◆ sampling()

bool cv::detail::tracking::TrackerSamplerCSC::sampling ( const Mat image,
const Rect boundingBox,
std::vector< Mat > &  sample 
)
virtual

Computes the regions starting from a position in an image.

Return true if samples are computed, false otherwise

Parameters
imageThe current frame
boundingBoxThe bounding box from which regions can be calculated
sampleThe computed samples [213] Fig. 1 variable Sk

Implements cv::detail::tracking::TrackerSamplerAlgorithm.

◆ setMode()

void cv::detail::tracking::TrackerSamplerCSC::setMode ( int  samplingMode)

Set the sampling mode of TrackerSamplerCSC.

Parameters
samplingModeThe sampling mode

The modes are:

  • "MODE_INIT_POS = 1" – for the positive sampling in initialization step
  • "MODE_INIT_NEG = 2" – for the negative sampling in initialization step
  • "MODE_TRACK_POS = 3" – for the positive sampling in update step
  • "MODE_TRACK_NEG = 4" – for the negative sampling in update step
  • "MODE_DETECT = 5" – for the sampling in detection step

The documentation for this class was generated from the following file: