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[Otheropencv_thesis

Description: opencv 领域相关的论文,对于人脸检测领域很有参考意义-opencv papers relevant to the area, for the field of face detection is very useful
Platform: | Size: 3758080 | Author: wu xiaoying | Hits:

[Special EffectsProcessImage2

Description: Opencv检测人脸,可以批量对某一个文件夹中(路径名不要有中文)所有文件操作,并将检测后的人脸抠出来保存到项目本地文件夹下.使用vc2005完成.-Face Detection with Opencv, you can bulk on a folder and detect the face of all files in this folder(the path should not have Chinese character) And after the Detection the system will save all the face area to the local folder the same with the project.Tool:vc2005
Platform: | Size: 95232 | Author: Rongbin | Hits:

[AI-NN-PRmotiondetect

Description: 本程序是基于VC++和opencv开发的视频入侵检测预警程序,在目标进入危险区域,提示警示语-This procedure is based on VC++ and opencv video intrusion detection development of early warning procedures, the goal of entering the hazardous area, prompted warnings
Platform: | Size: 39008256 | Author: 张建 | Hits:

[OpenCVCar-Detection

Description: This program is used for car detection and compatible with OpenCV 2.0. The user can set the car s size and car s area manually.
Platform: | Size: 9216 | Author: Suchet | Hits:

[OpenCVtbb

Description: 基于VC++ 和opencv的焊盘图像 内径外径的测量。包括滤波、边缘检测、轮廓提取和面积计算等算法。包含原图片-Based on the measurement of the pad image VC++ opencv Inside Outside. Including filtering, edge detection, contour extraction and area calculation algorithm. Contains the original image
Platform: | Size: 21648384 | Author: duqiuju | Hits:

[OpenCVVideoDetect

Description: 基于OpenCV的简易目标检测跟踪程序,能够实现对每帧视频的连续编号截图,可以实现键盘对视频播放的控制,能对每一视频帧生成包含运动目标区域的前景图像,采用某种策略实现对运动目标的跟踪,并用矩形框+编号将运动目标标出。-A simple target detection program base on OpenCV , which can numbered consecutively for each frame of video screenshots, keyboard control the video playback of each video frame to generate a foreground image containing motion of the target area, using some kind of strategy to achieve tracking of moving targets, and moving targets marked with a rectangle+ number.
Platform: | Size: 6153216 | Author: 肖帅 | Hits:

[ConsoleGrayImageTest

Description: Opencv 选取感兴趣区域 不在是指定的矩形 可以是任意图形! 然后将选定的mask 放入到goodfeaturetotrack中实现任意区域的角点检测。-The Opencv select the area of ​ ​ interest is not in the specified rectangle can be any graphic! Selected and then the mask placed into goodfeaturetotrack corner detection of any area.
Platform: | Size: 5603328 | Author: 张超 | Hits:

[OpenCV5-21

Description: 基于OPENCV的车辆检测,采用画出虚拟线圈的方法实现车辆的检测,定位,触发-Intelligent transport system(ITS)is currently being studied and the subject of widespread concern in the area of the world transport.These years,the great economic benefit has been gained through ITS,At the same time,it plays all important role in road design,traffic surveillance and highway charge.Video Vehicle Detection Technology discussed in this paper plays an important part in the ITS. Compared with traditional vehicle detection method with piezoelectricity sensor, Video Vehicle Detection Technology not only has lots of advantages,i.e.,easy installation and maintenance,wide monitoring areas,and also through image analysis and processing it Call obtain much useful traffic information,SO it has been widely used in ITS
Platform: | Size: 4553728 | Author: 徐卫东 | Hits:

[OpenCVFindMoving

Description: 由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术,在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后,分别采用不同检测算法检测出图像序列中的变化区域,最后用形态学滤波和连通性分析对变化区域进行后处理,从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame difference method and background subtraction method, by means of OpenCV technology, developed in Visual C++ 6.0 programming environment moving target detection system. The system first after the acquisition sequence of video images on the different channels associated pretreatment, respectively, using a sequence of images of different detection algorithm to detect changes in the region, and finally the changing area after the processing with a morphological filtering and connectivity analysis, which will sequence of video images of moving targets are more reliably detected.
Platform: | Size: 9736192 | Author: 罗超 | Hits:

[OtherCorners

Description: 首先,请检查/样品在你的OpenCV的分布/ C/ squares.c的。这个例子提供了一个方形的检测,如何检测角落类似的功能,它应该是一个不错的开始。然后,一起来看看在OpenCV的功能,导向功能,如cvCornerHarris()和cvGoodFeaturesToTrack()。 上述方法可以返回许多角落类似的功能 - 最不会“真正的角落”你正在寻找。在我的应用程序,我只好检测,旋转或倾斜的广场(透视)。我的检测流水线包括: 从RGB转换为灰度级(cvCvtColor) 平滑(cvSmooth) 阈值(cvThreshold) 检测边缘(cvCanny) 查找轮廓(cvFindContours的) 线性特征的大致轮廓与(cvApproxPoly) 查找“矩形”,这是结构:已经拥有4个点的polygonalized轮廓,有足够的面积,相邻的边〜 90度,“对面的”顶点之间的距离足够大,等等。 第7步是必要的,因为稍微嘈杂的图像可以产生许多结构出现矩形后polygonalization。在我的应用程序中,我也有处理方状结构,内出现,或重叠所需的平方。我发现轮廓的区域属性和重心是有帮助的挑剔适当的矩形。-First, check out /samples/c/squares.c in your OpenCV distribution. This example provides a square detector, and it should be a pretty good start on how to detect corner-like features. Then, take a look at OpenCV s feature-oriented functions like cvCornerHarris() and cvGoodFeaturesToTrack(). The above methods can return many corner-like features- most will not be the "true corners" you are looking for. In my application, I had to detect squares that had been rotated or skewed (due to perspective). My detection pipeline consisted of: Convert from RGB to grayscale (cvCvtColor) Smooth (cvSmooth) Threshold (cvThreshold) Detect edges (cvCanny) Find contours (cvFindContours) Approximate contours with linear features (cvApproxPoly) Find "rectangles" which were structures that: had polygonalized contours possessing 4 points, were of sufficient area, had adjacent edges were ~90 degrees, had distance between "opposite" vertices was of sufficient size, etc.
Platform: | Size: 1024 | Author: clark | Hits:

[OpenCVMoving-target-detection--opencv

Description: 运动目标自动跟踪检测,选择一块区域,根据一些色差值等,检测相关点-Moving target tracking and detection automatically select an area, according to some color difference detection point
Platform: | Size: 29245440 | Author: 朱隆兴 | Hits:

[Graph programTrackandID1

Description: 基于opencv环境在视频区域内设置感兴趣区域,在该区域内进行车辆检测以及车辆跟踪。-Based on the opencv environment settings in the video area of ​ ​ the region of interest in the region for vehicle detection, and vehicle tracking.
Platform: | Size: 2922496 | Author: 陈林 | Hits:

[OpenCVopencv-relex-detection-

Description: 对槽内多边形区域是否松动出槽外的松动检测,本程序运用harris角点检测的方法进行处理,-Polygonal area is loose on the tank outside the groove loose detection, the use of this program harris corner detection method for processing,
Platform: | Size: 16795648 | Author: | Hits:

[Graph RecognizePeopleDensitydll

Description: 视频图像的人群密度检测,多种人群密度场景下人群计数算法: 算法功能:建立图像特征和图像人数的数学关系 算法输入:训练样本图像1,2…K 算法输出:模型估计参数 ,参考图像 算法流程:1)对训练样本图像进行分块处理(算法1.1); 2)通过算法1.2,计算训练样本各个对应分块的ALBP特征归一化,再用K-means算法(可使用opencv等算法库实现,不再描述其算法),将图像块分成k(k<K)类,获取k(k<K)个聚类中心,即为参考图像; 3)对分块的图像进行与参考图像进行匹配。使用算法1.2求取ALBP特征,并求取其相似度 ,将相似性集合作为新特征并形成一个归一化的新特征 。 4)按照行人面积占图像块面积的比例,以60 为分界,分布采用径向基核函数 和线性核函数 。K(xi,x)建立图像特征和图像人数的SVR(支持向量回归机)模型可使用opencv中的SVM或libsvm,输出模型估计参数 。 -Population density detection of video images, a variety of crowd density scenes crowd counting algorithm: Algorithm functions: a mathematical relation between the image features and the number of images Algorithm Input: training sample image 1,2 ... K Algorithm output: model estimation parameters, reference image Algorithmic process: 1) the training sample image into blocks (algorithm 1.1) 2) by 1.2 algorithm to calculate the corresponding training samples of each block ALBP features normalized, then K-means algorithm (algorithm can be used opencv library implementation, no longer describe the algorithm), the image block is divided into k (k <K) class, gets k (k <K) clustering centers, namely the reference image 3) conduct of image block matching with the reference image. 1.2 ALBP characterized using an algorithm to strike, and strike the similarity, the similarity of a set of new features and forming a normalized new features. 4) pedestrian area accounted for in
Platform: | Size: 4759552 | Author: 徐云华 | Hits:

[Special Effectsedge2

Description: 轮廓检出 复杂背景下的物体轮廓检出。利用opencv函数将所有轮廓抽出后根据面积取最大轮廓抽出-Contour detection of object contours detection in complex backgrounds. Using opencv function will take out all the contours of the maximum contour extraction based on area
Platform: | Size: 1024 | Author: YANG MINGYUE | Hits:

[OpenCV10th_ROI

Description: 基于opencv的ROI检测,ROI就是感兴趣的区域。简单来讲就是在你的图片中处理需要处理的区域。-ROI detection based on ROI, opencv is the area of interest. In simple terms is to deal with the need to deal with the area in your picture.
Platform: | Size: 162816 | Author: 陈炯杰 | Hits:

[OpenCVjpeg_tamper_detect

Description: 此工程是基于jpeg重压缩检测的篡改区域定位的opencv的svm分类器应用程序,可以检测出经过PS或者美图秀秀修改过的jpeg重压缩图片的篡改区域。-This project is based on jpeg recompression tamper detection area positioning opencv of svm classification application, or can be detected through the PS beauties Xiu Xiu modified heavy compression jpeg image tampering area.
Platform: | Size: 3652608 | Author: 赖学金 | Hits:

[Special Effectssmoke_detection

Description: 使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法,检测出烟雾区域以及疑似烟雾区域;接着用背景相减的方法,检测出运动的物体;最后结合两种方法,只检测出运 动的烟雾区域,提取烟雾最大轮廓,绘制矩形框以示意。通过设置R、G、B的参数及阈值,可以得到满意的效果。 -Use VS2010+openCV. This paper is based on the color model and motion model for smoke detection. Firstly we use the RGB color model method, detect the smoke area and suspected smoke area then with the background subtraction method, to detect the movement of the object. At last, combined with two kinds of methods, only the detection of shipment Moving the smoke area, extracting the maximum outline of the smoke, draw a rectangular box to indicate. Satisfactory results can be obtained by setting the parameters and thresholds of R, G, B.
Platform: | Size: 31337472 | Author: 晋丽榕 | Hits:

[Software Engineeringface-detection

Description: 基于Opencv库的脸部识别,可识别出人脸并用圆画出,并可上升至识别眼睛区域。-Face recognition based on the Opencv library, you can identify the face and draw a circle, and can rise to identify the eye area.
Platform: | Size: 2166784 | Author: 图图 | Hits:

[Special EffectsEdge detection

Description: 目标检测首先利用统计的方法得到背景模型,并实时地对背景模型进行更新以适应光线变化和场景本身的变化,用形态学方法和检测连通域面积进行后处理,消除噪声和背景扰动带来的影响,在HSV色度空间下检测阴影,得到准确的运动目标。(object detectWe use statistical methods to obtain the background model, and real-time of the background model is updated to adapt to illumination changes and scene changes, using morphological method and connected domain detection area of postprocessing, eliminating the background noise and the impact of disturbance, in the HSV color space under the shadow detection, moving target accurately.)
Platform: | Size: 3885056 | Author: 科研666 | Hits:
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