搜索资源列表
carrecognisation
- 论文：一种复杂背景下的多车牌图像分割与识别方法 关键词：车牌识别，背景提取，图像分割，特征提取，字符识别-thesis : a complex background of the license plate number of image segmentation and identification Keywords : LPR, background extraction, Image segmentation, feature
app_updated
- 差分法提取目标时,为了保持背景的实时性,需要对不背景进行自适应更新,用VC编程-differential extraction of the target, in order to maintain the real-time background, the background is not necessary to conduct adaptive updated programming with VC
carrecognisation
- 论文：一种复杂背景下的多车牌图像分割与识别方法 关键词：车牌识别，背景提取，图像分割，特征提取，字符识别-thesis : a complex background of the license plate number of image segmentation and identification Keywords : LPR, background extraction, Image segmentation, feature
Background_Extract
- 基于OpenCV开发的道路交通视频的背景提取和前景提取。可对道路的背景进行提取和实时更新，从而提取出运动的车辆。-OpenCV on the development of road traffic video extraction and prospects of the background extraction. May be the background of road extraction and real-time updat
openCV_BGExtract
- 基于openCV得高斯背景模型提取。需要openCV，内置测试视频-OpenCV based on a Gaussian background model extraction. Need openCV, built-in test video
BackGround
- 由视频提取出背景，是动态提取背景的问题，调用了opencv中的几个函数-Video extracted from the background, is a dynamic extraction of the background of the problem, call a few functions in opencv
GaitRsystem
- 实现人体步态检测和基于步态的人体身份识别算法，主要内容包括背景的提取，人体运动区域检测，人体轮廓提取，步态特征的提取，相似性度量和分类识别。-Detection and realize human gait gait-based human identification algorithm, the main contents include background extraction, human motion region dete
20090429
- 为了提取区域边界，可以对图像直接运用一阶微商算子或二阶微商算子，然后根据各像点处的微商幅值或其他附加条件判定其是否为边界点。如果图像中含有较强噪声，直接进行微商运算将会出现许多虚假边界点。-.Using the feature of distinct edge contour existing between the text and the background regions in color images, a novel tex
GMM_bg_ex
- Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
MultiObjectSearch
- 多个目标提取，原始帧和背景帧相减，提取目标-Multiple target detection, the original fr a me and background fr a me subtraction, extraction of target
codecode
- 静态背景下的高精度视频目标是实时检测与轮廓提取，matlab源代码实现。 -High-precision static background video object detection and contour extraction in real time, matlab source code.
Low-complexity-background-subtraction-using-frame
- Tracking w/ blob detection, morphological operation (Togeather) fr a mes = {avi.cdata} uses the cdata from the video file fg = extractForeground(fr a mes) do foreground extraction cmap = colormap(gray) for
background-extraction
- 首先将视频提取出图像序列。将图像序列r、g、b三个分量分别计算平均值，再合成一幅图像作为背景图像。-First, extract the video image sequence. The image sequence r, g, b, respectively, calculate the average of three components, and then synthesized image as a background i
Background-extraction
- 均值法和中值法提取背景图像，并将二者进行比较.-Mean and median method to extract the background image, and will compare two.
Background-extraction
- 驱动电脑的摄像头，并把第一帧提取出来作为背景，其对后来摄像头所拍摄到的视频进行二值化。-Drive PC camera, and the first fr a me is extracted as a background, the later what the camera to video two value. 分享到 翻译结果重试 抱歉，系统响应超时，请稍后再试 支持中英、中日在线互译 支持网页翻
Background-Extraction
- 在windows下面使用OPENCV加VC++6.0编写的一个很好的图像处理例程基于静态场景的背景提取-Use OPENCV VC++6.0 written a very good image processing routines based on the static background of the scene to extract the windows below
single-gaussian-background-model
- 单高斯模型是一种图像处理背景提取的处理方法，适用于背景单一不变的场合，其他如混合高斯模型等方法都是对单高斯模型的扩展，单以单高斯模型最为简便，而且采取参数迭代方式，不用每次都进行建模处理。-Single gaussian model is a kind of processing methods of background extraction, image processing is suitable for the single c
background
- 运用matlab 进行图像背景的提取及识别的系统设计-System design using matlab image background extraction and recognition
background-extraction
- 运用平均值法进行背景提取，采用C++进行编程实现-By using average method for background extraction，With c++ programming
background
- 前景提取四种方法，好学易懂，适合初学者！(Foreground extraction)