用于教育娱乐应用程序交互的单摄像头指向手势识别

Z. Černeková, C. Malerczyk, N. Nikolaidis, I. Pitas
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引用次数: 8

摘要

本文提出了一种无标记的指向手势识别方法。基于视频的系统只使用一个摄像头,它在一个大屏幕前观察用户,并识别他/她在屏幕上指向的2D位置,他/她的手臂处于完全伸向屏幕的位置。使用GVF-snake来检测用户指向的手,在接下来的帧中使用粒子滤波跟踪器进行跟踪。使用蛇的重心作为特征点,并使用线性变换直接转换为画布坐标。该方法是在大屏幕上测试的,使用的应用程序是为各种不同的用户设计的,甚至是技术上不熟练的用户,比如为虚拟博物馆展览设计的图像探索或为游戏目的设计的直观交互应用程序。实验结果表明,单相机识别手势的效果非常理想。
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Single camera pointing gesture recognition for interaction in edutainment applications
In this paper, a method for recognizing pointing gestures without markers is proposed. The video-based system uses one camera only, which observes the user in front of a large screen and identifies the 2D position pointed by him/her on this screen, his/her arm being in the fully extended position towards the screen. A GVF-snake is used in order to detect the pointing hand of the user, which is tracked in the following frames using the particle filters tracker. The center of gravity of the snake is used as a feature point and is transformed using linear transformation directly into the canvas coordinates. The method was tested on a large screen using applications designed for a wide range of different and even technically unversed users such as an image exploration for a virtual museum exhibit or intuitive interaction applications for gaming purposes. Experiments show very promising results for recognizing the pointing gestures by using a single camera.
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