将两个Haar Cascade xml文件与EmguCV检测和识别一起使用

Question

With EmguCV I'm using single haarcascade_face.xml:

face = new HaarCascade(xmlPath); 

Attached from directory:

string path = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "folder\\haarcascade_face.xml");

This way detection or recognition works for particular xml file face content:

f = new HaarCascade(path); 

Same way if I change xml to another one for example haarcascade_hand.xml, detection and recognition applies to different object.:

I' not asking, how to detect and recognize different objects with single-process, as I'm doing this with faces:

MCvAvgComp[][] fd = gray.DetectHaarCascade(f, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20)); 

My question, if there a way, somehow use both haarcascade_face.xml and haarcascade_hand.xml for single process detection and not recognition in the right sense, but differentiation of which particular .xml used by detected object.

As I know I cannot combine two haar cascades in one detector, but I can run two detectors to detect two different things. I guess iteration between paths to each file during processing should be completely incorrect approach

Any advice guide or example would very helpful

Answer 1

How about doing face and hand detection in an image sequentially. It requires you to register 2 Haar detectors and apply them in every image.

//register 2 Haar detectors
string face_path = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "folder\\haarcascade_face.xml");
string hand_path = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "folder\\haarcascade_hand.xml");

HaarCascade face = new HaarCascade(face_path); 
HaarCascade hand= new HaarCascade(hand_path); 

//for every image
MCvAvgComp[][] fd = gray.DetectHaarCascade(face, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
MCvAvgComp[][] hd = gray.DetectHaarCascade(hand, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));