#include "tracker.hpp"

Public Member Functions
	Params ()
	Constructor. More...

void	read (const FileNode &)
	Read parameters from file, currently unused. More...

void	write (FileStorage &) const
	Read parameters from file, currently unused. More...

Public Attributes
bool	compress_feature
	activate the pca method to compress the features More...

int	compressed_size
	feature size after compression More...

int	desc_npca
	non-compressed descriptors of TrackerKCF::MODE More...

int	desc_pca
	compressed descriptors of TrackerKCF::MODE More...

float	detect_thresh
	detection confidence threshold More...

float	interp_factor
	linear interpolation factor for adaptation More...

float	lambda
	regularization More...

int	max_patch_size
	threshold for the ROI size More...

float	output_sigma_factor
	spatial bandwidth (proportional to target) More...

float	pca_learning_rate
	compression learning rate More...

bool	resize
	activate the resize feature to improve the processing speed More...

float	sigma
	gaussian kernel bandwidth More...

bool	split_coeff
	split the training coefficients into two matrices More...

bool	wrap_kernel
	wrap around the kernel values More...

Constructor & Destructor Documentation

§ Params()

cv::TrackerKCF::Params::Params ( )

Constructor.

Member Function Documentation

§ read()

void cv::TrackerKCF::Params::read ( const FileNode & )

Read parameters from file, currently unused.

§ write()

void cv::TrackerKCF::Params::write ( FileStorage & ) const

Read parameters from file, currently unused.

Member Data Documentation

§ compress_feature

bool cv::TrackerKCF::Params::compress_feature

activate the pca method to compress the features

§ compressed_size

int cv::TrackerKCF::Params::compressed_size

feature size after compression

§ desc_npca

int cv::TrackerKCF::Params::desc_npca

non-compressed descriptors of TrackerKCF::MODE

§ desc_pca

int cv::TrackerKCF::Params::desc_pca

compressed descriptors of TrackerKCF::MODE

§ detect_thresh

float cv::TrackerKCF::Params::detect_thresh

detection confidence threshold

§ interp_factor

float cv::TrackerKCF::Params::interp_factor

linear interpolation factor for adaptation

§ lambda

float cv::TrackerKCF::Params::lambda

regularization

§ max_patch_size

int cv::TrackerKCF::Params::max_patch_size

threshold for the ROI size

§ output_sigma_factor

float cv::TrackerKCF::Params::output_sigma_factor

spatial bandwidth (proportional to target)

§ pca_learning_rate

float cv::TrackerKCF::Params::pca_learning_rate

compression learning rate

§ resize

bool cv::TrackerKCF::Params::resize

activate the resize feature to improve the processing speed

§ sigma

float cv::TrackerKCF::Params::sigma

gaussian kernel bandwidth

§ split_coeff

bool cv::TrackerKCF::Params::split_coeff

split the training coefficients into two matrices

§ wrap_kernel

bool cv::TrackerKCF::Params::wrap_kernel

wrap around the kernel values

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

/build/master-contrib_docs-lin64/opencv_contrib/modules/tracking/include/opencv2/tracking/tracker.hpp

Public Member Functions

Public Attributes