Description: 运用差分法将动态图像序列的背景重建，根据运动序列建立自适应背景-difference method using dynamic image sequence reconstruction of the background, according to campaign to establish adaptive background sequence Platform: |
Size: 5120 |
Author:唐勇 |
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Description: 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 Platform: |
Size: 3167232 |
Author:张莉 |
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Description: GMM 混合高斯自适应背景维护 可以用来做行人检测 等-GMM Gaussian Mixture adaptive background maintenance can be used to make the pedestrian detection Platform: |
Size: 53248 |
Author:li shu |
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Description: 实现一个自适应阈值的算法，用以在不规则光照下从背景中提取出前景图像。-The realization of an adaptive threshold algorithm for the irregular light extracted from the background images prospects. Platform: |
Size: 150528 |
Author:Joe Black |
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Description: Ka lman 滤波的人体运动位置跟踪算法。基于视频的人体运动跟踪是当前计算机视觉研究的热点, 具有广泛的应用领域. 文中提出
一种基于Kalman 滤波的跟踪算法. 合理使用自适应背景颜色模型, 能够准确地对人体运动位置进
行跟踪-Ka lman human filtering algorithm to track the location of sports. Video-based human motion tracking is the current research on computer vision, with a wide range of applications. This paper presents a Kalman filter-based tracking algorithm. The rational use of adaptive background color model, the human body be able to accurately track the location of sports Platform: |
Size: 232448 |
Author:谭园芳 |
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Description: This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation Platform: |
Size: 216064 |
Author:Rajaram |
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Description: This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation Platform: |
Size: 862208 |
Author:Rajaram |
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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: 三篇经典的背景建模文章，包括自适应混合高斯建模，无参的核密度建模等，对于运动检测与跟踪的研究生来说非常具有参考价值。-Background modeling three classic articles, including the adaptive Gaussian mixture modeling, non-participation of the nuclear density modeling, motion detection and tracking for graduate students who have great reference value. Platform: |
Size: 1213440 |
Author:he |
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Description: 基于自适应背景模型的背景建模程序，包括图像滤波，图像增强，形态学处理和连通性分析等处理-Background model based on adaptive background modeling procedures, including image filtering, image enhancement, morphological processing and connectivity analysis process Platform: |
Size: 1024 |
Author:yangkai |
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Description: Adaptive background mixture models for real-time tracking，做视频运动检测与跟踪的朋友可以看看这一篇经典论文。-Adaptive background mixture models for real-time tracking, to do the video motion detection and tracking of friends can look at a classic paper. Platform: |
Size: 526336 |
Author:YanZhi |
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Search - adaptive background