【作者】 崔怡；

【导师】 殷蔚华；

【作者基本信息】 华中科技大学 ， 通信与信息系统， 2011， 硕士

【摘要】 体感游戏中的运动项目虽然风靡全球,但其运动效果还是远远比不上普通的跑步机。而跑步机游戏系统若能将体感游戏操作和跑步机有机的结合起来,将会给单调的健身运动带来前所未有的娱乐快感,使更多用户能自觉、主动的参与运动中来。由于具有非接触性和直接性,图像识别已成为目前体感技术的一个研究热点,特别是无标记的识别技术,可让人体不附加任何配件即成为“遥控器”,受到了广泛的关注。经过介绍分析主要的跟踪算法,根据系统需要我们选择了连续自适应均值偏移算法(CAM-Shift)跟踪双手。实验证明,传统的连续自适应均值偏移算法对裸露双手的跟踪效果不尽人意,在复杂背景下基本无法正常工作。对手套的跟踪虽然效果较好,但这违背了系统无标记的设计要求。为此,在传统连续自适应均值偏移算法的基础上,我们引入了深度信息,并利用深度图从前景分割、初始化和干扰处理几方面对算法进行了改进和扩充。本文主要是对深度图进行阈值分割得到前景目标的二值掩码,屏蔽掉复杂背景以减少非目标区域对搜索结果的干扰影响,同时利用深度图的3D信息初始化搜索窗口。以此为基础,构建了基于深度图和彩色图像的跑步机游戏交互系统。系统使用微软公司的Xbox体感外设Kinect装置获取运动玩家的深度图像和彩色图像序列,并对玩家双手的运动轨迹进行3D跟踪,分析识别其手部动作,实现了非接触、无标记的人机交互。实验证明系统满足实时要求,对动作反应灵敏准确。更多还原

【Abstract】 Although the Somatic Game is very popular all over the world, it is still little use for exercise. The treadmill game system will bring people the new fascinating experience of entertainment .And it can make more people do sports more consciously and regularly.Because of the non-contact and substantivity, recognition from images have become a hotspot in somatic technology. Especially, recognition with non-markers lets human body become remote controller without any accessories and attracts attention widespreadly. After introduced and analyzed the basic tracking algorithm, this thesis chose CAM-Shift algorithm to track bare hands according to the system demands. Then experiments showed that the basic CAM-Shift couldn’t satisfy the system and almost couldn’t work under complex background.Therefore, this article introduced depth information based on traditional CAM-Shift and developed and extended the algorithm in foreground segmentation, auto-initialization and noise process. This thesis mainly segmented depth map to get the mask off code of the foreground, and made use of the 3D information of the depth maps to initialize the searching window. Then, the thesis built up Interaction System of Treadmill Games based on depth maps and color images. The system realized the man-machine interaction with non-contact and no-markers by getting player’s depth maps and color images with a attachment of Xbox—Kinect from Microsoftm, 3D tracking the player’s bare hands and analyzing and recognizing the movements of the hands. Then the experiments testified this system satisfies the real time request, and the reaction is acute and correct.更多还原