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In some cases ,lf the haar detector finds more than one face in a next frame, you'd need to decide which detection is correct position. The algorithm that OpenCV uses for face tracking is called Camshift. Camshift uses color information.aslo you can use Camshift sample.

In some cases ,lf the haar detector finds more than one face in a next frame, you'd need to decide which detection is correct position. The algorithm that OpenCV uses for face tracking is called Camshift. Camshift uses color information.aslo information.Aslo you can use Camshift sample.

In some cases ,lf the haar detector finds more than one face in a next frame, you'd need to decide which detection is correct position. The algorithm that OpenCV uses for face tracking is called Camshift. Camshift uses color information.Aslo information. Camshift consists of 4 steps:

1-Create a color histogram to represent the face

2-compute the face probability for each pixel in frame by calcBackProject.

3-move the location of the face in next frame.

4-compute the face rotated rectangle.

Aslo you can use Camshift sample.

In some cases ,lf the haar detector finds more than one face in a next frame, you'd need to decide which detection is correct position. The algorithm that OpenCV uses for face tracking is called Camshift. Camshift uses color information. Camshift consists of 4 steps:

1-Create a color histogram to represent the faceface.

2-compute 2-Compute the face probability for each pixel in frame by calcBackProject.

3-move 3-Move the location of the face in next frame.

4-compute 4-Compute the face rotated rectangle.

Aslo you can use Camshift sample.