correct
Correct phd
filter with detections
Description
correct(
corrects phd
,detectionIndices
,likelihood
)phd
filter object using detections specified by
detectionIndices
and corresponding detection likelihoods,
likelihood
.
Input Arguments
detectionIndices
— Indices of detection cells
M-by-P logical matrix
Indices of detection cells, specified as an M-by-P logical matrix. M is the number of detections, and P is the number of detection cells. In each column, if the value of the ith element is 1, then the ith detection belongs to the detection cell specified by this column. On the contrary, if the value of the ith element is 0, then the ith detection does not belong to the detection cell specified by this column.
Example: [1 0 0; 0 1 1; 1 1 0]
Data Types: logical
likelihood
— Likelihood of association between detection cells and components
N-by-P real-valued matrix
Likelihood of association between detection cells and components in the density,
specified as an N-by-P real-valued matrix.
N is the number of components in the density of PHD filter, and
P is the number of detection cells specified by
detectionIndices
. The (i,j)
element of likelihood
matrix represents the likelihood of
association between component i and detection cell
j. The weight of a component after correction is equal to its
original weight multiplied by its likelihood.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Version History
Introduced in R2019a
See Also
ggiwphd
| trackerPHD
| gmphd
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