基于改进深度信息的手势分割与定位

针对基于Kinect深度信息分割的手势往往包含手腕易造成后续手势误识别的问题,提出一种改进深度信息的手势分割与定位算法。首先,基于深度信息阈值限定在实验空间中检测出手势二值图;然后,根据普通手势特征,提出基于手势端点检测和可变阈值算法分割出准确手势。为得到稳定的分割效果,对分割手势进行形态学处理,最后选取基于手势重心坐标和最大内切圆圆心坐标的联合手势定位法定位手势。实验结果表明,该手势分割方法比已有分割方法更准确可靠,联合手势定位比Kinect软件开发工具包骨骼数据定位和手势重心定位稳定,无奇异点。     

基于机器视觉的火车驾驶员动态手势识别方法

为快速准确识别火车驾驶员动态手势,提出一种基于机器视觉的动态时间规整算法.采用Kinect视觉传感器提取手势深度信息,结合人体骨骼节点信息,通过选取合适的深度距离阈值将手势图像信息从背景中分离出来.基于支持向量机(SVM)算法对分割后的手势图像进行识别并对手势规范性进行评价.利用图像深度数据以及驾驶员骨骼数据得到手臂骨...     

基于Kinect的民族弓弦乐器虚拟演奏系统

利用Kinect相机结合增强现实技术和手势识别方法设计并实现了一个弓弦乐器虚拟演奏系统——以二胡为例.将Kinect获取的现实场景和虚拟乐器融合在一起绘制成增强现实场景.通过Kinect得到的深度数据和贝叶斯肤色模型将用户的左手分割出来,并再次绘制在增强图像上形成新的图像,从而解决虚拟演奏场景中的虚实遮挡问题.利用基于反向动力学和马尔可夫模型的三维虚拟手势拟合方法,对演奏过程中的左手手势进行识别,并结合右手的运动状态完成乐器的虚拟演奏.     

基于Kinect骨骼信息与深度图像的指尖点检测

针对普通摄像头手势识别系统易受复杂环境和光照条件等因素影响,存在对指尖点的漏判、误判问题,提出一种基于Kinect 骨骼信息与深度图像的掌心点提取和指尖点检测的手势识别方法。在DRVI平台上创建Kinect的接口控件,对Kinect传感器获取人体骨骼信息和深度图像进行分析,采用了坐标映射、图像分割、距离变换的关键技术和方法从深度图中分割出手势部分区域,对手势区域形态学处理,结合凸包和K-曲率算法检测不同手势中指尖点的个数和位置,计算不同手势凸包轮廓上的点集生成的HOG(Histogram of Oriented Gradient)特征描述子,最后利用特征描述子对预定的6种数字手势进行识别。经实验测试可以在复杂环境和不同光照情况下正确识别指尖点。     

基于Kinect手势识别的应用与研究

为解决当前智能家居系统操作繁琐的问题,同时为获得更简单的控制方式,并增加用户的体验感受,研究了基于Kinect骨骼信息的手势识别技术,并将其融入至智能家居的人机交互系统中。在该系统中,用户可以自定义手势动作或语音实现家居设备的智能控制。使用了一种基于加权动态时间规整的模板匹配手势识别算法。通过Kinect的深度摄像头获取手势深度图像和骨骼图像数据,并采用加权动态时间规整算法进行识别。实验表明使用该算法实现手势识别是可行且有效的,且其最佳识别位置是在Kinect的正前方2～2.5m处,识别准确率达到96%左右。     

基于Kinect的体感虚拟鼠标研究与开发

利用微软Kinect体感设备进行骨骼数据采集,开发出一款利用手势动作控制计算机的体感虚拟鼠标软件。并在开发过程中设计并提出一种基于RGB-D信息的人体手势动作检测及识别方法来处理Kinect输出的彩色影像和深度影像。该方法分别利用DBSCAN与K-means聚类算法获取手势操作特征中的位置信息和方向信息来识别手势操作,实验结果证明了该方法的可行性。借助基于该方法开发的虚拟鼠标软件,用户只需要做出一些简单的手臂动作即可操作虚拟鼠标完成对计算机的控制。     

基于Kinect的手语识别方法

为实现基于Kinect的手语识别,提出了一种利用有限状态机及动态时间规整(DTW)的动态手语识别方法。首先,利用Kinect技术得到人体深度图像和骨骼特征信息;然后利用手部分割算法得到手部深度图像,再选取识别正确率高的梯度方向直方图(HOG)特征算子来提取手部特征;最后加入有限状态机和DTW算法实现动态手语识别。实验结果表明:该方法能够实现对常用手语单词、句子的识别,识别准确率可达95%。     

基于Kinect深度图像信息的手势轨迹识别及应用

为实现基于Kinect深度图像信息的手势轨迹识别,提出了一种基于隐马尔可夫模型(HMM)的手势轨迹识别的方法。首先采用新型Kinect传感器获取图像深度信息;然后通过OpenNI的手部分析模块获得手心的位置,提取轨迹特征;最后利用隐马尔可夫模型训练有效的轨迹样本并实现轨迹的识别。实验结果证明,该方法能有效地识别手势轨迹,并可用于控制智能轮椅的运动。     

基于Kinect的指尖检测与手势识别方法

针对基于视频的弯曲指尖点识别难、识别率不高的问题,提出一种基于深度信息、骨骼信息和彩色信息的手势识别方法。该方法首先利用Kinect相机的深度信息和骨骼信息初步快速判定手势在彩色图像中所在的区域,在该区域运用YCrCb肤色模型分割出手势区域;然后计算手势轮廓点到掌心点的距离并生成距离曲线,设定曲线波峰与波谷的比值参数来判定指尖点;最后结合弯曲指尖点特征和最大内轮廓面积特征识别出常用的12个手势。实验结果验证阶段邀请了6位实验者在相对稳定的光照环境条件下来验证提出的方法,每个手势被实验120次,12种手势的平均识别率达到了97.92%。实验结果表明,该方法能快速定位手势并准确地识别出常用的12种手势,且识别率较高。     

采用深度图像信息和SLVW的手语识别

为了实现手语视频中手语字母的准确识别,提出了一种基于DI_CamShift和SLVW的算法。该方法将Kinect作为手语视频采集设备,在获取彩色视频的同时得到其深度信息;计算深度图像中手语手势的主轴方向角和质心位置,通过调整搜索窗口对手势进行准确跟踪;使用基于深度积分图像的Ostu算法分割手势,并提取其SIFT特征;构建了SLVW词包作为手语特征,并用SVM进行识别。通过实验验证该算法,其单个手语字母最好识别率为99.87%,平均识别率96.21%。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。