OpenCV  4.6.0
Open Source Computer Vision
Classes | Typedefs | Functions
cv::detail::tracking::tbm Namespace Reference

Classes

class  CosDistance
 The CosDistance class allows computing cosine distance between two reidentification descriptors. More...
 
class  IDescriptorDistance
 The IDescriptorDistance class declares an interface for distance computation between reidentification descriptors. More...
 
class  IImageDescriptor
 The IImageDescriptor class declares base class for image descriptor. More...
 
class  ITrackerByMatching
 Tracker-by-Matching algorithm interface. More...
 
class  MatchTemplateDistance
 Computes distance between images using MatchTemplate function from OpenCV library and its cross-correlation computation method in particular. More...
 
class  ResizedImageDescriptor
 Uses resized image as descriptor. More...
 
class  Track
 The Track class describes tracks. More...
 
struct  TrackedObject
 The TrackedObject struct defines properties of detected object. More...
 
struct  TrackerParams
 The TrackerParams struct stores parameters of TrackerByMatching. More...
 

Typedefs

using ObjectTracks = std::unordered_map< int, TrackedObjects >
 (object id, detected objects) pairs collection. More...
 
using TrackedObjects = std::deque< TrackedObject >
 

Functions

cv::Ptr< ITrackerByMatchingcreateTrackerByMatching (const TrackerParams &params=TrackerParams())
 The factory to create Tracker-by-Matching algorithm implementation. More...
 
bool operator!= (const TrackedObject &first, const TrackedObject &second)
 
bool operator== (const TrackedObject &first, const TrackedObject &second)
 

Typedef Documentation

◆ ObjectTracks

using cv::detail::tracking::tbm::ObjectTracks = typedef std::unordered_map<int, TrackedObjects>

(object id, detected objects) pairs collection.

◆ TrackedObjects

Function Documentation

◆ createTrackerByMatching()

cv::Ptr<ITrackerByMatching> cv::detail::tracking::tbm::createTrackerByMatching ( const TrackerParams params = TrackerParams())

The factory to create Tracker-by-Matching algorithm implementation.

◆ operator!=()

bool cv::detail::tracking::tbm::operator!= ( const TrackedObject first,
const TrackedObject second 
)

◆ operator==()

bool cv::detail::tracking::tbm::operator== ( const TrackedObject first,
const TrackedObject second 
)