Public Member Functions
def	__init__
def	is_confirmed
def	is_deleted
def	is_tentative
def	mark_missed
def	predict
def	to_tlbr
def	to_tlwh
def	update
Public Attributes
	age
	covariance
	features
	hits
	mean
	state
	time_since_update
	track_id
Private Attributes
	_max_age
	_n_init

Detailed Description

A single target track with state space `(x, y, a, h)` and associated
velocities, where `(x, y)` is the center of the bounding box, `a` is the
aspect ratio and `h` is the height.

Parameters
----------
mean : ndarray
    Mean vector of the initial state distribution.
covariance : ndarray
    Covariance matrix of the initial state distribution.
track_id : int
    A unique track identifier.
n_init : int
    Number of consecutive detections before the track is confirmed. The
    track state is set to `Deleted` if a miss occurs within the first
    `n_init` frames.
max_age : int
    The maximum number of consecutive misses before the track state is
    set to `Deleted`.
feature : Optional[ndarray]
    Feature vector of the detection this track originates from. If not None,
    this feature is added to the `features` cache.

Attributes
----------
mean : ndarray
    Mean vector of the initial state distribution.
covariance : ndarray
    Covariance matrix of the initial state distribution.
track_id : int
    A unique track identifier.
hits : int
    Total number of measurement updates.
age : int
    Total number of frames since first occurance.
time_since_update : int
    Total number of frames since last measurement update.
state : TrackState
    The current track state.
features : List[ndarray]
    A cache of features. On each measurement update, the associated feature
    vector is added to this list.

Definition at line 19 of file track.py.

Constructor & Destructor Documentation

def deep_sort.track.Track.__init__	(	self,
		mean,
		covariance,
		track_id,
		n_init,
		max_age,
		feature = `None`
	)

Definition at line 66 of file track.py.

Member Function Documentation

def deep_sort.track.Track.is_confirmed ( self )

Returns True if this track is confirmed.

Definition at line 160 of file track.py.

def deep_sort.track.Track.is_deleted ( self )

Returns True if this track is dead and should be deleted.

Definition at line 164 of file track.py.

def deep_sort.track.Track.is_tentative ( self )

Returns True if this track is tentative (unconfirmed).

Definition at line 155 of file track.py.

def deep_sort.track.Track.mark_missed ( self )

Mark this track as missed (no association at the current time step).

Definition at line 147 of file track.py.

def deep_sort.track.Track.predict	(	self,
		kf
	)

Propagate the state distribution to the current time step using a
Kalman filter prediction step.

Parameters
----------
kf : kalman_filter.KalmanFilter
    The Kalman filter.

Definition at line 112 of file track.py.

def deep_sort.track.Track.to_tlbr ( self )

Get current position in bounding box format `(min x, miny, max x,
max y)`.

Returns
-------
ndarray
    The bounding box.

Definition at line 98 of file track.py.

def deep_sort.track.Track.to_tlwh ( self )

Get current position in bounding box format `(top left x, top left y,
width, height)`.

Returns
-------
ndarray
    The bounding box.

Definition at line 83 of file track.py.

def deep_sort.track.Track.update	(	self,
		kf,
		detection
	)

Perform Kalman filter measurement update step and update the feature
cache.

Parameters
----------
kf : kalman_filter.KalmanFilter
    The Kalman filter.
detection : Detection
    The associated detection.

Definition at line 126 of file track.py.