@article{Lukezic_IJCV2018,

author={Luke{\v{z}}i{\v{c}}, Alan and Voj{'i}{\v{r}}, Tom{'a}{\v{s}} and {\v{C}}ehovin Zajc, Luka and Matas, Ji{\v{r}}{'i} and Kristan, Matej},

title={Discriminative Correlation Filter Tracker with Channel and Spatial Reliability},

journal={International Journal of Computer Vision},

year={2018},

}

class CV_EXPORTS_W TrackerCSRT : public Tracker

{

TrackerCSRT(); // use ::create()

virtual ~TrackerCSRT() CV_OVERRIDE;

struct CV_EXPORTS_W_SIMPLE Params

{

CV_WRAP Params();

CV_PROP_RW bool use_hog;

CV_PROP_RW bool use_color_names;

CV_PROP_RW bool use_gray;

CV_PROP_RW bool use_rgb;

CV_PROP_RW bool use_channel_weights;

CV_PROP_RW bool use_segmentation;

CV_PROP_RW std::string window_function; //!< Window function: "hann", "cheb", "kaiser"

CV_PROP_RW float kaiser_alpha;

CV_PROP_RW float cheb_attenuation;

CV_PROP_RW float template_size;

CV_PROP_RW float gsl_sigma;

CV_PROP_RW float hog_orientations;

CV_PROP_RW float hog_clip;

CV_PROP_RW float padding;

CV_PROP_RW float filter_lr;

CV_PROP_RW float weights_lr;

CV_PROP_RW int num_hog_channels_used;

CV_PROP_RW int admm_iterations;

CV_PROP_RW int histogram_bins;

CV_PROP_RW float histogram_lr;

CV_PROP_RW int background_ratio;

CV_PROP_RW int number_of_scales;

CV_PROP_RW float scale_sigma_factor;

CV_PROP_RW float scale_model_max_area;

CV_PROP_RW float scale_lr;

CV_PROP_RW float scale_step;

CV_PROP_RW float psr_threshold; //!< we lost the target, if the psr is lower than this.

};

/** @brief Create CSRT tracker instance

static CV_WRAP Ptr<TrackerCSRT> create(const TrackerCSRT::Params &parameters = TrackerCSRT::Params());

CV_WRAP virtual void setInitialMask(InputArray mask) = 0;

//! Return estimated tracking confidence

CV_WRAP virtual float getTrackingScore() const = 0;

};

typedef TrackerCSRT::Params TrackerCSRT_Params;