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shoushi
- 本代码实现的是人体手势的实时识别。可以分析处理人的手势。是用visual c++开发。-the implementation of the code of human gesture recognition in real-time. Analysis can deal with the gestures. C is visual development.
human-motion-code
- 人体运动分析，基于特征点的人体运动描述 非常不错 -human motion analysis, based on features of the human body movement is very good descr iption
hr
- 人体动作识别，用于智能视频分析开发资料，主要应用于DSP嵌入式-Human motion recognition for intelligent video analysis, development of material, mainly used in DSP embedded
face
- 对人的面部图图像分析，包含几个例子，还不错-Of human facial image analysis, contains a few examples of good
ORL_faces
- 人脸识别：使用PCA方法，即主成分分析，区分人脸和非人脸。主要用于随即过程大作业。-Face Recognition: Using the PCA method, that is, principal component analysis, the distinction between face and non-human face. Then the process used mainly for large operations.
detectionofmotionpeople
- 在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为 使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分 析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析 包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研 究前景。-Extensively studied in previous work on the basis of the figures in this art
image
- 在计算机视觉领域，人体运动分析的研究具有相当广泛的应用前景。由于人体运动的复杂性，已有的研究方法都对研究对象—人体，加上了许多限制条件。-In the field of computer vision, human motion analysis with a wide range of applications. Due to the complexity of human motion, the existing research methods are research subjects-
Vision_with_Direction_A_Systematic_Introduction_to
- 第一辑：数学 代数部分、数值部分、几何拓扑部分、方程部分；第二辑：数据处理；第三辑：可视化；第四辑：系统和控制；第五辑：通信；第六辑：模式识别；第七辑：信号；第八辑：图像视觉-This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent
AnalysisofHumanFacesusingaMeasurementBasedSkinRefl
- Analysis of Human Faces using a Measurement-Based Skin Reflectance Model-一个有效的人脸识别模型，本文章简单易懂，-Analysis of Human Faces using a Measurement-Based Skin Reflectance Model-an effective face recognition models, this article easy to understand,
opencv
- 人体运动分析的论文，研究人体步态运动的识别处理，基于OpenCV-Of human motion analysis papers to study the movement of human gait recognition processing, based on OpenCV
LocalAvatar
- 该算法完成了对人脸的提取和分析，基于皮肤色检测，很好的，检测了嘴的位置，眼睛的位置，和眉毛的位置，并根据他们的形态进行分析，已用来生成人脸的虚拟形象。有由于虚拟形象文件很大，有需要的可以和作者我单独联系-The algorithm completed the extraction and analysis of human face, based on skin color detection, very good to detect the position of the mouth, eye
detection2
- 分析了Retinex 理论的本质意义, 得出Retinex 输出图像本质上是相对反射率, 而相对反射率对光照不敏感, 从而将其应 用于光照情况复杂的人脸图像预处理-Analysis of the Retinex theory of the nature of meaning, derived Retinex output image is essentially a relative reflectance rate, while the relative reflectivity is n
10[1].1.1.5.1092
- Video analysis of human dynamics is an important area of research devoted to detecting people and understanding their dynamic physical behavior in a complex environment that can be used for biometric applications. This paper provides a detailed s
IMECS2009_pp1348-1351
- The paper presents the analysis of human arm joints is carried out and the study is extended to the robot manipulator. This study will first focus on the kinematics of human upper arm which include the movement of each joint in shoulder, wris
researchonDetectionandTrackofMovingHuman
- 本文构建了一套自动的运动人体检测跟踪原型系统，对从一台固定的数码摄 像机采集的视频图像进行处理与分析，能够检测和跟踪运动人体。该原型系统由 运动人体检测、运动人体跟踪、人群融合分离跟踪等部分构成 -This paper built an automatic detection of tracking the movement of human prototype system from a stationary digital video cameras capture the vi
HCCR
- 运用仿生模式识别方法构建提取基本笔段的神经元序列覆盖手写体汉字图像, 分析笔段神经元间的拓扑性质, 将手写体汉字图像转化为具有容错表征方式的种汉字笔划类型组成的几何图形模仿人类汉字形码输人法统计具有冗余容错形状的笔划神经元类型、数量、位置、相合和相交点数量, 建立手写体汉字特征知识的数据结构表对一手写体汉字库中手写体汉字识别进行仿真实验。方法具有较强的“ 认知”手写体汉字的能力-Construction of the use of pattern recognition methods of e
Advances-in-Human-Motion-Analysis
- 人体运动视觉分析主要包括运动目标检测、 运动 目标分类 、 人体运动跟踪、 人体行为识别与描述四个环 节 ， 在多领域具有广阔的应用前景． 本文从上述四个方面综述了人体运动分析的研究现状， 对人体运动分析的热点 难点进行讨论 ， 对可能的发展方向进行阐述和展望．-Visual analysis includes moving object detection,moving object classfication,human tracking and activity recogni
Machine.Learning.Vision-Based.Motion
- 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
A-quick-picture-detect-Analysis
- 对一些人类在视觉上存在明显区别的几何图形,提出了轮廓搜索‰ 折点定位的改进算法。通过搜索 出的轮廓折点,根据它的数量,以及相邻折点之间连线的相互几何关系,最后识别出图形的快速算法。本文对大量 几何测试图形用该算法实验,结果证明该识别算法具有运算速度快,准确度高的特点,在图形发生拉伸‰ 旋转等变 形时也能很好对图形进行识别。-Some human visual presence of distinct geometry, a the contour search bre