搜索资源列表
0000face
- 针对光照变化对人脸检测及人眼定位的影响 ， 提出一种基于肤色模型的人脸检测与人 眼定位方法 ． 先对图像进行预处理 ， 减少图像中的噪声 ； 再将 ＲＧＢ 颜色空间转化到具有良好 肤色聚类特性的 ＹＣｂＣｒ 色彩空间 ， 利用 Ｇａｕｓｓ 模型进行肤色建模 ； 最后检测出人脸区域并确 定人眼位置 ． -The influence of illumination changes on human fa
0000009835tracking
- The influence of illumination changes on human face detection and eye location , A face detection based on skin color model is proposed. Eye location method . First image preprocessing , Reduce noise in images Then RGB The col
OpenCVPjava
- Java和OpenCV2.0的人脸视觉检测，通过摄像头实时检测和跟踪人脸-Face Java and OpenCV2.0 visual inspection by the camera in real-time detection and tracking human faces
myproject_Haswall5
- 穿墙雷达人体呼吸检测，是生命体探测的热门研究方向，本程序用matlab仿真，模拟频率步进雷达的探测方法，通过MTI滤波滤除墙体回波，通过FFT相干积累获取人体呼吸频率-Through-wall radar to detect human breath, is a living body to detect a hot research direction, the procedures used matlab simulation, simulation stepped frequency ra
KMkeen
- 基于人类视觉将图像分割成若干个有意义的区域是目标检测和模式识别的基础。图像分割属于图像处理中一种重要的图像分析技术。图像分割的基本方法是对灰度图像分割，处理图像的亮度分量，简单快速。本论文介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。-Based on the human visual image is segmented into several meaningful regions is the basis for
spectral_saliency_matlab
- 显著性检测。2012年ECCV基于四元数的显著性检测对应代码。- Quaternion-based Spectral Saliency Detection for Eye Fixation Prediction, in European Conference on Computer Vision (ECCV), 2012 [2] B. Schauerte, and R. Stiefelhagen, Predicting Human Gaze u
NIPS
- 对图像进行ICL显著性检测后得到显著性图，充分将图像里的显著部分提取出来，利于人眼观测识别-ICL was obtained after the detection of image saliency map, will be full of a significant portion of image in the extract, conducive to the human eye observation and identification
face-detect
- 基于视频图像的人脸检测与跟踪方法研究，适合图像处理方向学习使用-Research on human face detection and tracking based on video image
facedetector_src
- MFC实现的基于AdaBoost算法的人脸检测源代码，通过摄像头拍摄动态检测人脸-MFC implementation of the AdaBoost algorithm based on the face detection of the source code, through the camera to detect the dynamic detection of human face
ActRecTut-master
- Human action detection in sign languauge and american sign langauage
STM32-Speech-Recognition-Master
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相
peopledection
- 使用MATLAB平台写的人体检测的代码，包括示意图片，检测场景中是否存在人-Using the code of the human body detection platform written in MATLAB, including schematic image, detecting the presence or absence of people in the scene
fddb-evaluation-code
- FDDB人脸数据集评估C++代码，从官网上下载的，拿来就能用，用于评估人脸检测算法检测率及误检率。-FDDB face data set to assess the C++ code, downloaded the official website, used to be able to use, for the assessment of human face detection algorithm detection rate and false detection rate.
WaiJieJuXing
- 利用外接矩形描述人体目标，在Matlab里实现跌倒检测。-Using external rectangle describes human target, realize the fall detection in Matlab.
tree_based_face_detector
- 基于树的人脸检测，实现人脸的检测，在MATLAB环境下，MATLAB源代码-Face detection based on the tree, to achieve the detection of human face, in the MATLAB environment, MATLAB source code
PCA(test)
- 完整的PCA 人脸识别的应用包括几个步骤：人脸图像预处理；读入人脸库，训练形成 特征子空间；把训练图像和测试图像投影到上一步骤中得到的子空间上；选择一定 的距离函数进行识别-We present an approach to the detection and identification of human faces and describe a working, near-real-time face recognition system which tracks a s
lbp-facedetect(opencv)
- 基于opencv lbp的人脸检测算法，利用facedetect函数快速检测到人脸，提高检测速度，优化检测方法。-Face detection algorithm based on LBP facedetect, using OpenCV function to quickly detect human face, improve the detection speed, and optimize the detection method.
FAN-Auto
- 温控智能风扇，带有手动自动功能切换，还有人体检测功能，有人才启动，无人自动哪停，还有万年历功能，在LCD1602显示，键盘扫描是 高级算法实现的，不在是平常的延时去抖！还有一些其他高级的功能！这个是我自己写的，哪里不对欢迎指正！-Temperature-controlled smart fan with manual and automatic switching function, as well as the human body detection function, there is t
LRC
- 代码是线性递归模型对于人脸进行检测和重构-The code is linear recursive model for human face detection and reconstruction
EIBCam
- 基于opencv的人脸识别系统，可以实现人脸的检测和识别-A face recognition system based on opencv, can realize human face detection and recognition