Detecting and Tracking the Guitar Neck Towards the Actualization of a Guitar Teaching-aid System
Zhao Wang, Jun Ohya · The Abstracts of the international conference on advanced mechatronics toward evolutionary fusion of IT and mechatronics ICAM · 2015
Towards the actualization of an autonomous guitar teaching-aid system, this paper proposes the following two video analysis based methods: (1) guitar neck detecting and (2) guitar neck tracking. For (1), an algorithm that can extract the rectangles cut by guitar strings and fret is proposed so that we can detect guitar neck area on the first frame of the input video. For (2), a feature point based guitar neck tracking algorithm is proposed, which can cope with occlusion issue effectively by analyzing geometric relationship between each two feature points in every frame. Experimental results demonstrate that the proposed two modules are robust enough under complex contexts such as complicated background and different illumination conditions.