Fingertip Tracking and Hand Gesture Recognition by 3D Vision

نویسنده

  • De Gu
چکیده

This paper introduces an algorithm to track palm and fingertips based on images with depth data in real-time. Some meaningful hand gesture is then recognized by the detected palm and fingertips. The images with depth information are first captured by a Kinect camera. Then foreground and background are separated to pick up the potential hand. The fingertips are then detected by the curvature of the hand boundary. Finally, we tested several meaningful hand gesture, and the result is inspiring. Keywords— depth image data; fingertip detection; posture recognition; human-machine interaction Introduction

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تاریخ انتشار 2015