#include <opencv2/tracking.hpp>

Public Member Functions
	Params ()

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 ( )

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:

opencv2/tracking.hpp

Public Member Functions

Public Attributes