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用MATLAB实现人体检测的特征提取,效果不错,需要简单的修改-Human Detection Using MATLAB implementation of feature extraction, good results, require simple changes
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本文介绍了OpenCV函数库的基本用法,阐述了目前做人脸检测研究中所使用的常用检测算法,并利用OpenCV设计和实现了图像中人脸的检测,试验结果表明利用OpenCV开发人脸检测系统效率高,识别效果好。-This paper introduces the basic OpenCV library usage, on the current human face detection research commonly used in the detection algorithm, and the
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Advanced Human Mood detection technique using Genetic Algorithms in Matlab
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肤色是人脸检测中基本的检测手段,此方法就是利用肤色实现人脸分割!-Face detection is the color of the basic means of detection, this method is the realization of human faces using color segmentation!
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this a human face detection program using color segmentation.i include some pics with it.-this is a human face detection program using color segmentation.i include some pics with it.
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this program for detection face of human. this program developed using matlab
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In this paper, human skin detection is performed using a new color space coordinate and a Markov random fi eld based approach.
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根据测距仪数据提取人体的代码。使用ada-boost分类器实现。同时包含matlab的实现,在linux下GCC编译。
作者:Luciano Spinello-People2D provides an efficient implementation of the people detector in 2D data originally developed in Human Detection using Multimodal and Multidimensional Features (
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利用Matlab进行人脸识别,可将图片中的人脸识别出来-face detection using Matlab,can detect human faces in a picture after training.
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face detection using matlab
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利用matlab 2012a 內建Demo 做人臉偵測程式-Built-in Demo human face detection program using matlab 2012a
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人脸识别代码,数字图像处理
使用matlab内置函数-face detection program, using matlab function to detect human face
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利用肤色分割,采用MATLAB进行编程实现对图片中的人脸进行检测,程序包中还包括采用“参考白”方法进行光照补偿的源程序-Based on skin color segmentation, using MATLAB programming to realize the face detection, the package also includes a reference white approach of the source illumination compensation
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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
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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.
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1. 使用matlab自带的人脸识别工具(Viola-Jones算法)找出人脸的位置,并裁剪出人脸区域。
2. 使用Gabor滤波器识别出人脸的局部特征及纹理。
3. 训练一个SVM进行表情分类。
4. 交叉验证得到表情分类正确率为83.3 。
操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human
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利用积分图的方式提取图像hog特征,用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)
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本资源运用Matlab中的计算机视觉技术对视频监控中的运动人体的一些异常行为进行研究分析,涉及到了运动目标检测以及跟踪和人体异常行为检测等几个方面。背景模型的建立则是分别利用了中值滤波法和二值化背景模版建模法,通过帧间差分
来实现不断更新背景模版。在检测运动人体异常行为中,本文在检测运动人体跌倒的异常行为时利用外接矩形来确定运动人体及其质心,并通过定义一些特征算子来把人体行为进行量化,从而判断是否行为异常。(In this paper, we use matlab technology to d
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