Description: 这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流-this is the application of Gaussian mixture of the background modeling method for the detection procedures, opencv needed. for the exchange of exchange Platform: |
Size: 433002 |
Author:王鑫 |
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Description: 视频监控系统完整源码（本人本科毕业设计），运用帧间差分算法，运用高斯混合模型来实现背景的实时更新，以减少由于环境的变化对检测结果的干扰。-Video Surveillance System integrity of the source code (I graduated from undergraduate design), use interframe difference algorithm, Gaussian mixture model used to achieve the real-time background updates, and to reduce environmental changes on the test results interference. Platform: |
Size: 3299788 |
Author:刘放晴 |
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Description: 视频监控系统完整源码（本人本科毕业设计），运用帧间差分算法，运用高斯混合模型来实现背景的实时更新，以减少由于环境的变化对检测结果的干扰。-Video Surveillance System integrity of the source code (I graduated from undergraduate design), use interframe difference algorithm, Gaussian mixture model used to achieve the real-time background updates, and to reduce environmental changes on the test results interference. Platform: |
Size: 3299328 |
Author:刘放晴 |
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Description: This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation Platform: |
Size: 182272 |
Author:Rajaram |
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Description: 利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新-The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates Platform: |
Size: 6144 |
Author:chenying |
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Description: 目前比较流行的智能视频分析里用到的 混合高斯模型算法，可以用来建立背景。-Currently more popular where intelligent video analysis algorithms used in Gaussian mixture model can be used to establish the background. Platform: |
Size: 3072 |
Author:小一 |
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Description: 是关于高斯混合模型的背景建模程序，是关于opencv改进的，自己编程的程序。-Gaussian mixture model on the background modeling procedure is about opencv improved, their own programming procedures. Platform: |
Size: 46181376 |
Author:ANMINGSHOU |
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Description: 基于opencv的混合高斯背景建模，可对视频中车辆进行运动检测-Gaussian mixture background modeling, can be a vehicle for video motion detection Platform: |
Size: 12218368 |
Author:血槽 |
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Description: 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For complex background environment under fixed camera, the image data captured video images using Gaussian mixture background modeling method implementation foreground/background segmentation, detecting and tracking moving objects. Before foreground detection, the first training background, the background of each image using a Gaussian mixture model to simulate the number of each Gaussian mixture background adaptively. Then in the testing phase, the pixels on the new GMM match, if the pixel value is able to match one of the Gaussian, then that is the background, otherwise considered a prospect. Since the whole process is continuously updated GMM model in the study, so the dynamic context of a certain robustness. Finally, on a tree swing dynamic background foreground detection, achieved good results. Platform: |
Size: 5177344 |
Author:axin |
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Description: 使用Opencv实现的混合高斯背景建模，能够对图像的前景和背景进行分割。-Gaussian mixture background modeling using Opencv achieved, it is possible to image segmentation of the foreground and background. Platform: |
Size: 20372480 |
Author:袁晓霞 |
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Description: 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息。-Gaussian mixture background modeling is based on the background pixel sample representation of statistical information, using the pixel values in a long time a large number of samples probability density statistics. Platform: |
Size: 2691072 |
Author:shaodeyang |
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Description: 在高斯混合噪声背景下实现SLIM谱估计算法和l1范数SLIM谱估计法，并在-5到15的信噪比条件与CRLB对比均方频率误差-the paper achieves the SLIM spectral estimation algorithm and l1-SLIM spectral estimation method under the Gaussian mixture background noise,then compares the mean square frequency error with CRLB under SNR from-5 to 15 Platform: |
Size: 5120 |
Author:xiaohui |
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Description: 利用混合高斯进行背景建模，以此来提取前景-Use Gaussian mixture background modeling, in order to extract the foreground Platform: |
Size: 4910080 |
Author:杨帆 |
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Description: 本文以室内、外不同空间的人数统计为背景，研究基于图像的人员计数技术，对某时段内进出摄像机视野中指定区域的人数，或指定区域内在景人数进行统计。主要研究内容有以下几点：
（1）人员计数方案论证：本文分析对比了不同人员计数算法，研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。
（2）基于像素统计的人员计数系统实现：①分别采用近似中值背景模型和高斯混合背景模型提取前景图像；②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制；③用前景像素数除以人数得到一个人的像素平均值，在已知图像中前景像素数的情况下，可对人数进行估计。
（3）基于Hough变换的人员计数系统实现：①根据人头顶部轮廓近圆的特征,采用Sobel算子提取图像边缘,得到目标轮廓；②设置人员检测计数区，利用Hough变换进行圆检测；③对目标进行跟踪，并且进行有效性判断，记录有效目标；④判断行人是否跨线及跨线方向，实现过往行人的双向人数统计，并对人头进行标记。
-In this paper, indoor outside the different number of spatial statistical background image based on studies of people counting technology, the number of designated areas within some period of time and out of the camera view, the number of designated areas or inner view statistics. The main contents are as follows:
(1) people counting demonstration program: In this paper compares different people counting algorithm analysis based on pixel count algorithm based on the advantages and disadvantages personnel Hough Transform.
(2) based on pixel count of people counting system achieve: ① were used to approximate the value of the background model and a Gaussian mixture background model extraction of the foreground image ② the method of the HSV color space conversion based on the foreground shadow suppressed ③ foreground pixels divided by the average number of pixels to obtain a person s image at a known number of pixels in the foreground of the case, th Platform: |
Size: 36864 |
Author:rankin |
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Description: 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.) Platform: |
Size: 5109760 |
Author:秋月无边
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Search - Gaussian mixture background