TldParameters (boofcv-recognition 0.31 API)

java.lang.Object
- boofcv.alg.tracker.tld.TldParameters

```
public class TldParameters
extends java.lang.Object
```
Configuration file for TLD tracker.

See Also:

TldTracker

Field Summary

Fields
Modifier and Type	Field and Description
`double`	`confidenceAccept` The minimum value for a region's confidence that will be accepted.
`double`	`confidenceThresholdLower` Lower acceptance threshold for confidence.
`double`	`confidenceThresholdStrong` A track must have a confidence above this value to be considered highly confident, allowing learning to be activated again.
`double`	`confidenceThresholdUpper` Upper acceptance threshold for confidence.
`int`	`detectMinimumSide` The minimum number of pixels along a side in a detection rectangle which will be considered.
`int`	`fernSize` Number of sample points pairs.
`int`	`maximumCascadeConsider` Maximum number of NCC templates it will examine inside the detection cascade.
`double`	`maximumErrorFB` The maximum allowed forwards-backwards error (pixels) for a track.
`int`	`motionIterations` Number of iterations in LSMeD to estimate the region's motion.
`int`	`numFerns` Number of fern descriptors.
`int`	`numNegativeFerns` Number of ferns it will use to train the negative classifier
`double`	`overlapLower` If two regions have an overlap less than this value they are considered to be disconnected
`double`	`overlapUpper` If two regions have an overlap more than or equal to this value they are considered to be strongly connected
`long`	`randomSeed` Random number seed.
`double`	`regionConnect` If two regions have an overlap fraction more than or equal to this value then they will be considered connected.
`int`	`scaleSpread` Determines the number of scales it will search in increments of powers of 1.2.
`double`	`thresholdSimilarArea` How similar the area needs to be for it to be considered a continuation of the previous track and will update the description
`boofcv.alg.tracker.klt.KltConfig`	`trackerConfig` Basic parameters for tracker.
`int`	`trackerFeatureRadius` Radius of KLT tracks.
`int`	`trackerGridWidth` Tracks are spawned in an evenly spaced grid inside the previous region.

Constructor Summary

Constructors
Constructor and Description

TldParameters()

Constructors
Constructor and Description
`TldParameters()`

Method Summary
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - maximumCascadeConsider
```
public int maximumCascadeConsider
```
    Maximum number of NCC templates it will examine inside the detection cascade. Used to limit the amount of processing used during detection. To disable set to Integer.MAX_VALUE
  - numNegativeFerns
```
public int numNegativeFerns
```
    Number of ferns it will use to train the negative classifier
  - maximumErrorFB
```
public double maximumErrorFB
```
    The maximum allowed forwards-backwards error (pixels) for a track. Suggested value is 10.
  - trackerGridWidth
```
public int trackerGridWidth
```
    Tracks are spawned in an evenly spaced grid inside the previous region. This value specifies the number of rows and columns in the grid.
  - trackerFeatureRadius
```
public int trackerFeatureRadius
```
    Radius of KLT tracks. A radius of 5 is recommended.
  - detectMinimumSide
```
public int detectMinimumSide
```
    The minimum number of pixels along a side in a detection rectangle which will be considered.
  - motionIterations
```
public int motionIterations
```
    Number of iterations in LSMeD to estimate the region's motion.
  - regionConnect
```
public double regionConnect
```
    If two regions have an overlap fraction more than or equal to this value then they will be considered connected. Used inside of non-maximum suppression. A value of 0.5 is suggested.
  - overlapUpper
```
public double overlapUpper
```
    If two regions have an overlap more than or equal to this value they are considered to be strongly connected
  - overlapLower
```
public double overlapLower
```
    If two regions have an overlap less than this value they are considered to be disconnected
  - thresholdSimilarArea
```
public double thresholdSimilarArea
```
    How similar the area needs to be for it to be considered a continuation of the previous track and will update the description
  - confidenceThresholdStrong
```
public double confidenceThresholdStrong
```
    A track must have a confidence above this value to be considered highly confident, allowing learning to be activated again.
  - confidenceThresholdUpper
```
public double confidenceThresholdUpper
```
    Upper acceptance threshold for confidence. Suggested value is 0.65
  - confidenceThresholdLower
```
public double confidenceThresholdLower
```
    Lower acceptance threshold for confidence. Used during hypothesis fusion. Suggested value is 0.5
  - randomSeed
```
public long randomSeed
```
    Random number seed. Used to create ferns and perform robust model fitting.
  - numFerns
```
public int numFerns
```
    Number of fern descriptors. A value of 10 is recommended.
  - fernSize
```
public int fernSize
```
    Number of sample points pairs. 0 < N ≤ 32. A value of 10 is recommended.
  - confidenceAccept
```
public double confidenceAccept
```
    The minimum value for a region's confidence that will be accepted. When the tracking hypothesis is accepted its value can dip very low.
  - scaleSpread
```
public int scaleSpread
```
    Determines the number of scales it will search in increments of powers of 1.2. All scales from 1.2^(-scaleSpread) to 1.2^scaleSpread are checked.
  - trackerConfig
```
public boofcv.alg.tracker.klt.KltConfig trackerConfig
```
    Basic parameters for tracker. KltConfig.createDefault() with maxIterations = 50 is suggested.
- Constructor Detail
  - TldParameters
```
public TldParameters()
```

Class TldParameters

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

maximumCascadeConsider

numNegativeFerns

maximumErrorFB

trackerGridWidth

trackerFeatureRadius

detectMinimumSide

motionIterations

regionConnect

overlapUpper

overlapLower

thresholdSimilarArea

confidenceThresholdStrong

confidenceThresholdUpper

confidenceThresholdLower

randomSeed

numFerns

fernSize

confidenceAccept

scaleSpread

trackerConfig

Constructor Detail

TldParameters