summary.TrDm

object

Minimum length of tracked segments for particles to be
included. By default an automated threshold is calculated. Only for
'tracked' objects.

incThres

Statistic to be calculated to obtain particle sizes. By
default <code>median</code> is used.

funSize

further arguments passed to or from other methods.

&#8230;

<code>summary</code> methods for class 'TrDm'.

Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in  evolutionary and ecological studies.

Marjolein Bruijning

trackdem

Particle Tracking and Demography

summary.TrDm function

<dl><dt>object</dt>
<dd>an object of class 'TrDm'.</dd>
<dt>incThres</dt>
<dd>Minimum length of tracked segments for particles to be
included. By default an automated threshold is calculated. Only for
'tracked' objects.</dd>
<dt>funSize</dt>
<dd>Statistic to be calculated to obtain particle sizes. By
default <code>median</code> is used.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Marjolein Bruijning, Caspar A. Hallmann &amp; Marco D. Visser

Author

summary methods for class 'TrDm'. — summary.TrDm

<dl>

<dt>object</dt>
<dd>an object of class 'TrDm'.</dd>


<dt>incThres</dt>
<dd>Minimum length of tracked segments for particles to be
included. By default an automated threshold is calculated. Only for
'tracked' objects.</dd>


<dt>funSize</dt>
<dd>Statistic to be calculated to obtain particle sizes. By
default <code>median</code> is used.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

summary.TrDm: `summary` methods for class 'TrDm'.

Description

Usage

Arguments

Author