搜索资源列表
REAAL
- real-time 3D pointing gesture recognition algorithm for natural human-robot interaction (HRI). The recognition errors in previous pointing gesture recognition algorithms are mainly caused by the low performance of the hands tracking module an
MACH3D-Rodriguez
- 采用傅里叶变换,频域中进行行为识别的方法,具体请参考MACH3D的那篇论文-The Fourier transform, frequency domain behavior recognition method, specific reference MACH3D of that paper
skin-detection
- This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by this scr ipt can be refined and proc
Infrared-Face-Recognition
- 这篇文章是我实验室写的基于2DPCA的红外人脸识别方法,这里面系统的阐述了使用2DPCA算法比传统PCA算法的好处,本文还阐述了红外图像在人类识别方面独特的优点及存在的不足。-This article is written in my laboratory face recognition method based on infrared 2DPCA, there is a systematic exposition of the use of algorithms than the tradi
human-motion
- 人体运动识别的一片论文,使用SOPC实现,实验效果很好,-In a paper of human movement recognition, using the SOPC implementation, experimental results well,
ear-recognition
- 基于小波变换和正交质心算法的人耳识别研究,其中算法较为复杂-Based on Wavelet Transform and Orthogonal Centroid algorithm recognition of the human ear, which is more complicated algorithm
Human-face-recognition
- 系统全面的基于人脸的身份识别,包括预处理,特征提取,径向基网络识别等。-Human face recognition for ID verification,including preprocess, feature extraction and RBF network recognition
Face-recognition
- 本文针对人脸图像的特点,选取一组Gabor 小波核,并用这组Gabor 小波核对人脸图像进行Gabor 小波变换,提取人脸 图像的有效信息。在此基础上,用2DPCA 对Gabor 小波提取的 数据矩阵进行降维,最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wav
iris
- Human recognition using iris
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
research-of-gesture-recognition
- 近年来手势识别技术的快速发展,基于手势识别技术的人机交互应用系统的建立使得人机交互的发展前景广阔。从 手形、手势和手形手势的建模出发,介绍了模板匹配、特征提取、神经网络和隐马尔可夫模型4 种手势识别的方法,并且综述 了基于手势识别技术人机交互的发展,详细介绍了3 类人机交互系统:漫游型系统、编辑型系统和操作型系统。-The rapid progress of techniques in hand posture and gesture recognition provides a pro
Human-detect-ion-in-video
- This paper will attempt to analyze and compare a number of different existing approaches to human detection in video. Even though there have already been a number a papers written on the topics of skin and face detection this paper will go beyo
Yale-University-faces
- 耶鲁大学实验室的人验库,包含了各种不同的表情,不同的姿态,对于研究人验识别的程序员来说,非常的有用。欢迎下载。-Yale university laboratory person test library, contains all sorts of different expression, different attitude, to check the programmer human recognition, very useful. Welcome to download.
Face-recognition--on-a-DSP
- 本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方 法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm se
PCA-face-recognition
- PCA人脸识别程序。运用主成分分析法对人脸进行识别是一种主要的方法。-PCA face recognition program. The use of principal component analysis of the human face recognition is a major way.
Human_Recognition
- Human recognition book.
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
Recognition-activities-using-SVM
- 利用Support Vector Machine來處理對影像辨識,能判斷影像所傑取到的人是處於何種動作之下,最後並比較多種分類器之結果-Recognition of human activities using SVM multi-class classifi er,including used o-v-o,o-v-a,DAGSVM and SVM-BTA to compare.
LPMCC-Speach-Emotion-Recognition
- 基于LPMCC的语音识别系统实现 语音识别可实现人机交互和语音控制,在X-业控制、消费电子等领域都有广泛应用。结合人发音的生理 结构的特点,使用LPMCC(LPC倒谱美尔变换)作为特征向量,采用动态规划算法作为核心识别算法,在TMS320VC5402芯片上实现了特定人、孤立词的高性能实时识别系统。-Speech Recognition System Based On LPMCC Speech recognition can achieve human—computer intera
Human-and-Machine-recognition-of-faces
- Human and machine recognition of faces