This software was developed as part of my 'image projection onto patients' project at the University of Chester. It was created using the Python Tcl and OpenCV wrappers. The coloured markers on the hand held tracker are segmented using hue, saturation and value. The resulting BLOBS are tracked according to their relative positions. The Euler angle of the highest marker is calculated relative to the virtual y-axis and displayed onto the mannequin.

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Problems associated with this method of tracking is that other similarly coloured markers can interfere. Also, pushing the marker into the projected image changes the HSV values of the marker causing its tracking to fail.