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Tracker Algorithms

The following algorithms are implemented at the moment.

[MIL]B Babenko, M-H Yang, and S Belongie, Visual Tracking with Online Multiple Instance Learning, In CVPR, 2009
[OLB]H Grabner, M Grabner, and H Bischof, Real-time tracking via on-line boosting, In Proc. BMVC, volume 1, pages 47– 56, 2006

TrackerBoosting

This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm. The classifier uses the surrounding background as negative examples in update step to avoid the drifting problem. The implementation is based on [OLB].

.. ocv:class:: TrackerBoosting

Implementation of TrackerBoosting from :ocv:class:`Tracker`:

class CV_EXPORTS_W TrackerBoosting : public Tracker
{
 public:

  TrackerBoosting( const TrackerBoosting::Params &parameters = TrackerBoosting::Params() );

  virtual ~TrackerBoosting();

  void read( const FileNode& fn );
  void write( FileStorage& fs ) const;


};

TrackerBoosting::Params

.. ocv:struct:: TrackerBoosting::Params

List of BOOSTING parameters:

struct CV_EXPORTS Params
{
 Params();
 int numClassifiers;  //the number of classifiers to use in a OnlineBoosting algorithm
 float samplerOverlap;  //search region parameters to use in a OnlineBoosting algorithm
 float samplerSearchFactor;  // search region parameters to use in a OnlineBoosting algorithm
 int iterationInit;  //the initial iterations
 int featureSetNumFeatures;  // #features

 void read( const FileNode& fn );
 void write( FileStorage& fs ) const;
};

TrackerBoosting::TrackerBoosting

Constructor

.. ocv:function:: bool TrackerBoosting::TrackerBoosting( const TrackerBoosting::Params &parameters = TrackerBoosting::Params() )

    :param parameters: BOOSTING parameters :ocv:struct:`TrackerBoosting::Params`

TrackerMIL

The MIL algorithm trains a classifier in an online manner to separate the object from the background. Multiple Instance Learning avoids the drift problem for a robust tracking. The implementation is based on [MIL].

Original code can be found here http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml

.. ocv:class:: TrackerMIL

Implementation of TrackerMIL from :ocv:class:`Tracker`:

class CV_EXPORTS_W TrackerMIL : public Tracker
{
 public:

  TrackerMIL( const TrackerMIL::Params &parameters = TrackerMIL::Params() );

  virtual ~TrackerMIL();

  void read( const FileNode& fn );
  void write( FileStorage& fs ) const;

};

TrackerMIL::Params

.. ocv:struct:: TrackerMIL::Params

List of MIL parameters:

struct CV_EXPORTS Params
{
 Params();
 //parameters for sampler
 float samplerInitInRadius;   // radius for gathering positive instances during init
 int samplerInitMaxNegNum;    // # negative samples to use during init
 float samplerSearchWinSize;  // size of search window
 float samplerTrackInRadius;  // radius for gathering positive instances during tracking
 int samplerTrackMaxPosNum;   // # positive samples to use during tracking
 int samplerTrackMaxNegNum;   // # negative samples to use during tracking

 int featureSetNumFeatures;   // # features

 void read( const FileNode& fn );
 void write( FileStorage& fs ) const;
};

TrackerMIL::TrackerMIL

Constructor

.. ocv:function:: bool TrackerMIL::TrackerMIL( const TrackerMIL::Params &parameters = TrackerMIL::Params() )

    :param parameters: MIL parameters :ocv:struct:`TrackerMIL::Params`