Question

I am using some functions such as color contour tracking and image matching which are already available in OpenCV .. I am trying to identify a pink duck, more specifically the head of the duck, but these two functions don’t give me the outcome I am expecting for some reasons such as :

1. the color thing don’t always work perfect because the change in the lightning , which accordingly would change the color seen by the camera.
2. when I use the image matching thing, I use one image of the duck which I took from a specific position and it can identify the duck only when he is in that position, but I want to identify it even when I rotate the duck or play around with it.

Does anyone have an ideas about a better way to track a certain object ?

Thank you

Answer 1

Have you tried converting the image into the hsv colourspace? This colourspace tries to remove the effects of lighting so might be able to improve your colour-based segmentation.

To identify the head of the duck, once you have identified the duck as a whole you could perhaps identify the orientation (using template matching with a set of templates from different viewpoints, or haar cascades, or …) and then use the known orientation and an empirical rule to determine where the head is located. For example, if you detect the duck in an upright position within a certain bounding box, the head is assumed to be located in the top third of that bounding box.