Description: 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。
edgesum_thresh控制来背景边缘提取时去掉运动目标边缘的阈值。
-Intelligent traffic monitoring system based on the edge of the moving object extraction algorithm of this article is based on the algorithm C++ And OPEN CV achieved, it is necessary to run this program first to install these two software as a result of this paper used in the acquisition of images of the video image more large, to more than 100 megabytes, so the use of another video demo program to view the effect of the procedure used in video sequences of the first 40 odd-numbered frames to extract the background of the edge of backframes using parameters to control, backframes/2 that is used the frames. cedge_thresh1 and cedge_thresh2 to control the background detection is the Canny operator to use two thresholds. edgesum_thresh control to the background when the edge detection of moving targets to remove the edge threshold. Platform: |
Size: 1801216 |
Author:陈忠厚 |
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Description: 视频序列的运动检测:用帧差法实现了单个物体的运动检测。-Video sequence of motion detection: bad law with frames achieve a single object detection exercise. Platform: |
Size: 1024 |
Author:Mr zhang |
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Description: 研究了室内环境下的运动目标的检测技术。讨论了各种目标检测的算法,提出基于室内相对静止背
景下的目标检测算法,利用高斯背景建模方法提取较为理想与“干净”的背景帧,并可进行背景的自适应更
新,然后再利用所得的背景与当前视频帧进行相减,得到视频中运动目标的前景图像,经过平滑去噪处理得
到较为理想的目标检测效果
-Of the indoor environment of moving target detection. Discussed a variety of target detection algorithms, proposed interior based on relatively static background of target detection algorithms, using the Gaussian background modeling to extract more desirable and " clean" background frames and Jin Xing adaptive background update, then re- making use of the background and subtracting the current video frame, get the prospect of moving object in the video image, after smoothing processing are ideal target detection results Platform: |
Size: 312320 |
Author:丁雍 |
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Description: 里面包含了步态识别的整一套流程的代码实现，包括从视频流里面提取图片帧，背景建模，提取运动目标（运动检测），形态学处理（膨胀与腐蚀，连通性检测），归一化大小，步态能量图的构建，主成分分析（PCA）降维,线性判别分析（LDA）分类等等功能的代码实现。均通过测试。-Contains the gait recognition of the whole process of a set of code, including the extraction and picture frames from the video stream, and background modeling, extract the moving object (motion detection), morphology processing (expansion and corrosion, connectivity), normalized size, gait energy diagram construction, principal component analysis (PCA) dimensionality reduction and linear discriminant analysis (LDA) classification code implementation and so on functions. All pass the test. Platform: |
Size: 12288 |
Author:夏辉 |
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Description: 图像修复是指恢复图像中破损区域的颜色信息或者去除图像中的多余物体。针对视频图像损坏特征中较复杂的水
平与垂直条带，利用视频图像时间连续性的特点，提出基于小波分析理论的修复方法。实验结果表明，该系统能够较好地恢复
视频图像和有效去除文字。
-Image inpainting refers to restore the color information of the damaged region in the image or remove the
unnecessary object in the image. A method is introduced to compute the main direction of the texture and complete
the image based on wavelet transform. The core of the algorithm relies on using texture detection in a coarse-to-fine
scheme. Experimental results show that the algorithm can obtain the satisfied restoration video frames.
【Key words】video frame restoration wavelet transform video processing text extraction Platform: |
Size: 5686272 |
Author:孙红娟 |
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Description: Scale Invariant Feature Transform (SIFT) is mainly invariance to various image transformation including rotation,scale and illumination changes. First, the video is converted into frames. key frames are extracted video. SIFT is mainly used for object detection.- Scale Invariant Feature Transform (SIFT) is mainly invariance to various image transformation including rotation,scale and illumination changes. First, the video is converted into frames. key frames are extracted video. SIFT is mainly used for object detection. Platform: |
Size: 687104 |
Author:mathi |
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Description: 计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。-Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi Platform: |
Size: 2048 |
Author:wan |
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Description: 在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications) Platform: |
Size: 346112 |
Author:夙愿
|
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Search - object detection video frames