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>
Go to the source code of this file.
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 |
MHT class declaration.
Definition in file mht_declaration.h.
MatrixXd ellipseParametric | ( | Matrix2d & | cov, |
Vector2d & | mu, | ||
double | MahThreshold | ||
) |
Create a ellipse using parameters.
cov | covariance |
mu | mean |
MahThreshold | maximum Mahalanobis distance |
Definition at line 46 of file mht_implementation.cpp.
ostream& operator<< | ( | ostream & | o, |
vector< vector< int > > & | measurements_assignemnt | ||
) |
bool removeLocal | ( | vector< T > & | v, |
T | i | ||
) |
Definition at line 70 of file mht_declaration.h.