CvLatentSvmDetector.DetectObjects Method (IplImage, CvMemStorage, Single, Int32)

CvLatentSvmDetectorDetectObjects Method (IplImage, CvMemStorage, Single, Int32)

OpenCvSharp Class Library

find rectangular regions in the given image that are likely to contain objects and corresponding confidence levels

Namespace: OpenCvSharp
Assembly: OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0.0 (1.0.0.0)

Syntax

public CvSeq<CvObjectDetection> DetectObjects(
	IplImage image,
	CvMemStorage storage,
	float overlap_threshold,
	int numThreads
)

Public Function DetectObjects ( 
	image As IplImage,
	storage As CvMemStorage,
	overlap_threshold As Single,
	numThreads As Integer
) As CvSeq(Of CvObjectDetection)

public:
CvSeq<CvObjectDetection>^ DetectObjects(
	IplImage^ image, 
	CvMemStorage^ storage, 
	float overlap_threshold, 
	int numThreads
)

member DetectObjects : 
        image : IplImage * 
        storage : CvMemStorage * 
        overlap_threshold : float32 * 
        numThreads : int -> CvSeq<CvObjectDetection>

Parameters

image: Type: OpenCvSharpIplImage
image to detect objects in
storage: Type: OpenCvSharpCvMemStorage
memory storage to store the resultant sequence of the object candidate rectangles
overlap_threshold: Type: SystemSingle
threshold for the non-maximum suppression algorithm = 0.5f [here will be the reference to original paper]
numThreads: Type: SystemInt32
[Missing <param name="numThreads"/> documentation for "M:OpenCvSharp.CvLatentSvmDetector.DetectObjects(OpenCvSharp.IplImage,OpenCvSharp.CvMemStorage,System.Single,System.Int32)"]

Return Value

Type: CvSeqCvObjectDetection

[Missing <returns> documentation for "M:OpenCvSharp.CvLatentSvmDetector.DetectObjects(OpenCvSharp.IplImage,OpenCvSharp.CvMemStorage,System.Single,System.Int32)"]

Reference

CvLatentSvmDetector Class

DetectObjects Overload

OpenCvSharp Namespace