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sdfa Open OCR (oocr) is a character recognition program used for automatic scanning of documents and forms. oocr is based on the idea of automatic form/document reading, which can create a batch process in recognizing areas of interest for forms or a
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本代码实现了视频的采集,回放和背景检测等功能.-achieve this code of the video collection, intervals and background detection, and other functions.
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用matlab实现的动态目标检测程序，背景减除法,Using matlab to achieve a dynamic target detection procedures, background subtraction method
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背景差分法对运动汽车的检测，对检测得到的汽车图像进行预处理和边缘提取,Background difference method for the detection of movement of motor vehicles, the vehicle has been detected image pre-processing and edge extraction
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自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型,Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model
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视频运动物体检测，采用混合高斯分布建立背景模型及差分方法对背景模型进行更新,Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
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此代码实现了基于码书的背景建模法在运动目标检测中的运用,This code implementation code book based on background modeling method in target detection exercise in the use of
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一个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多,A multi-target tracking matlab code, which accompanied by a document. One of the background difference method can achieve real-time updates. The code detection and trackin
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用openCV实现，利用背景建模检测运动目标,opencv，detect motion target using background modeling
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此程序是针对视频中的运动目标的检测，程序中包括了背景建模、背景差法等功能的w4背景建模算法。-This procedure is for the video of the moving target detection, process modeling, including the background, the background difference method and other functions of the background modeling algorithm w4.
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基于vc++6.0+opencv的运动目标的检测与跟踪，包括一个小车视频，主要功能是在噪声、静止背景下实现运动目标的检测-Vc++6.0+ opencv-based moving target detection and tracking, including a car video, the main function is in the noise, static background detection of moving objects
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基于openCV的手势检测与识别代码，其中使用了基于颜色的分割算法，如果结合运动检测和减背景方法，算法将会更加稳健。-Hand gesture detection and recognition using openCV and the color based segmentation method. If, combinned with motion detection and background substraction, it supposes to be robuster.
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背景减除法 Opencv 运动物体检测 ROI区域检测-Background subtraction method for moving object detection Opencv ROI region detection
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智能交通监视系统中基于边缘的运动目标提取算法
本文的算法是基于C++和OPEN CV实现的，要运行此程序首先要安装这两个软件
由于本文在采集图像时用到的视频图像较大 ，要100多兆，所以演示程序采用另一个视频，以观其效果
本程序中采用视频序列的前四十帧的奇数帧提取出背景边缘，用参数backframes来控制，backframes/2
即是采用的帧数。
cedge_thresh1和cedge_thresh2来控制做背景检测是用到的CANNY算子的两个阈值。
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vc++运动检测算法（采取自适应背景更新,opencv下的代码-vc++ motion detection algorithm (to take adaptive background update, opencv under the code
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基于混合高斯模型的背景消除
利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
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使用局部背景更新结合肤色模型来进行运动手势的检测-Background updating using the combination of local color model for the detection of motion gestures
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基于混合高斯背景模型的背景剪除法，可以对背景进行实时的更新实现对前景的检测-Background model based on Gaussian mixture background pruning method, the background can be updated in real time to achieve the detection of future
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visual studio环境基于opencv平均背景法实现背景检测-visual studio environment, background detection method based on the average background opencv
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这是cvpr2014年Saliency Optimization from Robust Background Detection论文的代码，感兴趣的朋友可以下载调试，基于matlab实现的。(This code is about Saliency Optimization from Robust Background Detection (cvpr2014).If you have some interesting,you will download this code to run in m
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