Description: 该程序读取视频，利用背景建模，实现运动物体的检测-Read the program video, the use of background modeling, the realization of the detection of moving objects Platform: |
Size: 484352 |
Author:何璐 |
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Description: A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approaches to this
problem differ in the type of background model used
and the procedure used to update the model. This paper
discusses modeling each pixel as a mixture of Gaussians
and using an on-line approximation to update
the model. The Gaussian distributions of the adaptive
mixture model are then evaluated to determine which
are most likelyt o result from a background process.
Each pixel is classified based on whether the Gaussian
distribution which represents it most effectivelyis considered
part of the background model. Platform: |
Size: 186368 |
Author:ajinkya |
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Description: 该代码利用背景建模检测运动物体，也是基于OPENCV的-The code detection using background modeling moving objects, is also based on OPENCV of Platform: |
Size: 541696 |
Author:张倩 |
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Description: 基于背景建模的动态场景目标检测,介绍了背景建模的步骤和重要的方法，然后介绍了根据背景差分法，来提取运动目标，从而进行跟踪-Background modeling of dynamic scenes based on target detection, background modeling described the steps and important way, then introduced under the background difference method to extract moving objects, which track Platform: |
Size: 1449984 |
Author:陈家敏 |
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Description: 利用背景建模检测运动物体。视频是一个交通路面的视频（自己可以去下个）-Moving object detection using background modeling. Video is a video of a traffic road (they can go to the next) Platform: |
Size: 4096 |
Author:朱文良 |
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Description: vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc. Platform: |
Size: 36115456 |
Author:李风 |
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Description: 使用背景建模法和时间差分法的前景分割，使用找轮廓的方式显示移动物体的位置-Background modeling using time-difference method and the prospect of partition, use the display profile to find the position of moving objects Platform: |
Size: 4370432 |
Author:fengzhanxiang |
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Description: vs2010工程，C++（优化了opencv的代码），通过混合高斯背景建模实现的运动物体检测，效果非常好。-vs2010 project, C++ (optimized opencv code), Gaussian mixture background modeling to achieve through the detection of moving objects, the effect is very good. Platform: |
Size: 107520 |
Author:张林 |
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Description: 源代码基于opencv 逐帧读取视频 然后通过背景建模构建出背景的灰度图 再通过背景检测出每一帧中的运动物体-Read the video frame by frame and then build through background modeling background grayscale and then through the background of detecting moving objects in each frame Platform: |
Size: 13766656 |
Author:xyc |
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Description: 代码为用高斯背景建模提取视频中移动的物体，使用VS+OpenCV2-Code for the extraction of moving objects in video using Gaussian background modeling, using VS+OpenCV2.4.4 Platform: |
Size: 11276288 |
Author:杨康 |
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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: 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current frame and the background reference model is a method to detect the movement of objects, its performance depends on background modeling technology used. Background subtraction method to detect moving objects fast, accurate detection, easy to implement, the key is to get the background image. In practice, the background is still difficult to obtain directly, while, due to the dynamic changes of the background image, through inter video sequence information to estimate the background and restore that background reconstruction, so to selectively update the background. Platform: |
Size: 171008 |
Author:ZHENGJINGRANG |
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Search - background modeling of moving objects