code: public static <I extends ImageGray<I>, Desc extends TupleDesc>
  	PointTracker<I> combined(InterestPointDetector<I> detector,
  							 OrientationImage<I> orientation,
  							 DescribeRegionPoint<I, Desc> describe,
  							 AssociateDescription<Desc> associate,
  							 PkltConfig kltConfig ,
  							 int reactivateThreshold,
  							 Class<I> imageType)
  	{
  		DetectDescribeFusion<I,Desc> fused = new DetectDescribeFusion<>(detector, orientation, describe);
  
  		return combined(fused,associate, kltConfig, reactivateThreshold,imageType);
  	}
docs: Creates a tracker that is a hybrid between KLT and Detect-Describe-Associate (DDA) trackers.
  
  @see CombinedTrackerScalePoint
  
  @param detector Feature detector.
  @param orientation Optional feature orientation.  Can be null.
  @param describe Feature description
  @param associate Association algorithm.
  @param kltConfig Configuration for KLT tracker
  @param reactivateThreshold Tracks are reactivated after this many have been dropped.  Try 10% of maxMatches
  @param imageType Input image type.     @return Feature tracker