[Paper] Robust Finger Tracking for Gesture Control of Mobile Devices Using Contour and Interior Information of a Finger

抄録

In this paper, we propose a method for robust tracking of a moving finger in an image sequence. The method is suitable for application to our input interface system, which recognizes a moving finger in the air. The proposed method extracts edges from input images, and then estimates the position and rotation of a finger in the input images by matching points in a template to edges. The most remarkable feature of our method is that it also takes into account the presence or absence of edges in regions in the input images corresponding to the inside of the finger in the template for estimating. This makes it possible to estimate the position and rotation of a finger exactly in images with complex backgrounds. Our method successfully tracked a finger in several situations with an average processing time of 6.32 [ms/frame], and the finger was tracked with good accuracy.