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This work is about the extraction of the motion of fingers, in their threearticulations, of a keyboard player from a video sequence. The relevance of theproblem involves several aspects, in fact, the extraction of the movements ofthe fingers may be used to compute the keystroke efficiency and individualjoint contributions, as showed by Werner Goebl and Caroline Palmer in the paper'Temporal Control and Hand Movement Efficiency in Skilled Music Performance'.Those measures are directly related to the precision in timing and forcemeasures. A very good approach to the hand gesture recognition problem has beenpresented in the paper ' Real-Time Hand Gesture Recognition Using FingerSegmentation'. Detecting the keys pressed on a keyboard is a task that can becomplex because of the shadows that can degrade the quality of the result andpossibly cause the detection of not pressed keys. Among the several approachesthat already exist, a great amount of them is based on the subtraction offrames in order to detect the movements of the keys caused by their pressure.Detecting the keys that are pressed could be useful to automatically evaluatethe performance of a pianist or to automatically write sheet music of themelody that is being played.

Visual motion analysis of the player's finger