cv::TrackerKCF::Params Struct Reference

#include <opencv2/tracking/tracker.hpp>

Public Member Functions
	Params ()
	Constructor.
void	read (const FileNode &)
	Read parameters from a file.
void	write (FileStorage &) const
	Write parameters to a file.

Public Attributes
bool	compress_feature
	activate the pca method to compress the features
int	compressed_size
	feature size after compression
int	desc_npca
	non-compressed descriptors of TrackerKCF::MODE
int	desc_pca
	compressed descriptors of TrackerKCF::MODE
float	detect_thresh
	detection confidence threshold
float	interp_factor
	linear interpolation factor for adaptation
float	lambda
	regularization
int	max_patch_size
	threshold for the ROI size
float	output_sigma_factor
	spatial bandwidth (proportional to target)
float	pca_learning_rate
	compression learning rate
bool	resize
	activate the resize feature to improve the processing speed
float	sigma
	gaussian kernel bandwidth
bool	split_coeff
	split the training coefficients into two matrices
bool	wrap_kernel
	wrap around the kernel values

Constructor & Destructor Documentation

cv::TrackerKCF::Params::Params

(

)

Constructor.

Member Function Documentation

void cv::TrackerKCF::Params::read

(

const FileNode &

)

Read parameters from a file.

void cv::TrackerKCF::Params::write

(

FileStorage &

)

const

Write parameters to a file.

Member Data Documentation

bool cv::TrackerKCF::Params::compress_feature

activate the pca method to compress the features

int cv::TrackerKCF::Params::compressed_size

feature size after compression

int cv::TrackerKCF::Params::desc_npca

non-compressed descriptors of TrackerKCF::MODE

int cv::TrackerKCF::Params::desc_pca

compressed descriptors of TrackerKCF::MODE

float cv::TrackerKCF::Params::detect_thresh

detection confidence threshold

float cv::TrackerKCF::Params::interp_factor

linear interpolation factor for adaptation

float cv::TrackerKCF::Params::lambda

regularization

int cv::TrackerKCF::Params::max_patch_size

threshold for the ROI size

float cv::TrackerKCF::Params::output_sigma_factor

spatial bandwidth (proportional to target)

float cv::TrackerKCF::Params::pca_learning_rate

compression learning rate

bool cv::TrackerKCF::Params::resize

activate the resize feature to improve the processing speed

float cv::TrackerKCF::Params::sigma

gaussian kernel bandwidth

bool cv::TrackerKCF::Params::split_coeff

split the training coefficients into two matrices

bool cv::TrackerKCF::Params::wrap_kernel

wrap around the kernel values

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

• tracker.hpp