Namespaces | |
namespace | mimas::hf |
Classes related to the hypothesis filter; a tracking method better known as particle filter. | |
Classes | |
class | mimas::hf::analyse_result_mean< Hypothesis_T, Pixel_T > |
An analyse result policy for the hypothesis filter. More... | |
class | mimas::hf::condensation< Hypothesis_T > |
a picking policy. More... | |
class | mimas::hf::correlation_observer2D< Hypothesis_T, Pixel_T > |
Performs a cross-correlation product on a part of the current image and a kernel image. More... | |
class | Dice |
random routines. More... | |
class | mimas::hf::hypothesis |
interface class of an hypothesis More... | |
class | mimas::hf::hypothesis2D |
2-D location of an object More... | |
class | mimas::hf::hypothesis3D |
Hold the 3-D parameters of an object location. More... | |
class | mimas::hf::hypothesis_filter< image_loader_P, Observer_P, Analyse_result_T, Hypothesis_T, Picking_P, Compensate_P, Pixel_T > |
The host class, center of the hypothesis filter architecture. More... | |
class | mimas::hf::image_loader< T > |
A policy (ref Modern C++ Design Andrei Alexandrescu) for hypothesis_filter that will take care to load a sequence of images if the image names of the sequence follows the naming convention base_nameXXXX.png, X being a digit. More... | |
class | mimas::hf::no_compensation< Hypothesis_T > |
default compensation policy. More... | |
class | mimas::hf::p_condensation< Hypothesis_T > |
a picking policy More... |
You will be quickly able to implement basic solution for your tracking problems. You may then look at the hypothesis_filter class