Detect objects using aggregate channel features
The acfObjectDetector
object detects objects from an image, using
the aggregate channel features (ACF) object detector. To detect objects in an image,
pass the trained detector to the detect
function.
The ACF object detector recognizes specific objects in images, based on the training
images and the object ground truth locations used with the trainACFObjectDetector
function.
Create an acfObjectDetector
object by calling the trainACFObjectDetector
function with training
data.
detector = trainACFObjectDetector(trainingData,...)
detector = acfObjectDetector(
creates an detectorStruct.Classifier
,detectorStruct.TrainingOptions
)acfObjectDetector
object that is identical to an
existing acfObjectDetector
object using the object properties
Classifier
and TraningOptions
, which
are stored in the detectorStruct
structure fields. Use this
syntax to recreate an ACF object detector for code generation.
[1] Dollar, P., R. Appel, S. Belongie, and P. Perona. "Fast Feature Pyramids for Object Detection." Pattern Analysis and Machine Intelligence, IEEE Transactions. Vol. 36, Issue 8, 2014, pp. 1532–1545.