MHT class declaration. More...
#include <algorithm>#include <vector>#include <string>#include <iostream>#include <fstream>#include <assert.h>#include <mtt/hypothesisTree.h>#include <mtt/k_best.h>#include <boost/shared_ptr.hpp>#include <boost/math/special_functions/fpclassify.hpp>#include <colormap/colormap.h>#include <boost/thread.hpp>#include <mtt/metrics.h>
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Classes | |
| class | Color |
| Color class, extension to std_msgs::ColorRGBA. More... | |
| class | Mht |
| Big and complicated class that implements the MHT (Multiple Hypotheses Tracking) algorithm. More... | |
Functions | |
| MatrixXd | ellipseParametric (Matrix2d &cov, Vector2d &mu, double MahThreshold) |
| Create a ellipse using parameters. More... | |
| ostream & | operator<< (ostream &o, vector< vector< int > > &measurements_assignemnt) |
| template<class T > | |
| bool | removeLocal (vector< T > &v, T i) |
Variables | |
| string | fileName |
Detailed Description
MHT class declaration.
Definition in file mht_declaration.h.
Function Documentation
| MatrixXd ellipseParametric | ( | Matrix2d & | cov, |
| Vector2d & | mu, | ||
| double | MahThreshold | ||
| ) |
Create a ellipse using parameters.
- Parameters
-
cov covariance mu mean MahThreshold maximum Mahalanobis distance
- Returns
- matrix of ellipse points
Definition at line 46 of file mht_implementation.cpp.
| ostream& operator<< | ( | ostream & | o, |
| vector< vector< int > > & | measurements_assignemnt | ||
| ) |
template<class T >
| bool removeLocal | ( | vector< T > & | v, |
| T | i | ||
| ) |
Definition at line 70 of file mht_declaration.h.