Description: SNP算法:
基于背景缩减和阴影检测的统计方法,适用于室内检测.-SNP algorithm : Based on the background and shadow detection reduced the statistical methods applied to indoor testing. Platform: |
Size: 837632 |
Author:beijingolympic.hi |
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Description: for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs Platform: |
Size: 20480 |
Author: |
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Description: 人体跟踪源代码,有运动检测和跟踪结果。其中运动检测中有背景减法,二值化,性态滤波,纵向投影,横向投影,除去影子,新纵投影-Human tracking the source code, there are motion detection and tracking results. Motion detection in which the background subtraction, binarization, and homomorphic filtering, vertical projection, horizontal projection, except for Shadow, the new vertical projection Platform: |
Size: 2697216 |
Author:waaldfj |
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Description: 提出了一种基于数学形态学的边缘提取方法。该方法先对图像进行颜色预处理,再利
用数学形态学对图象进行形态学梯度变换, 最后通过基于统计学的边缘提取方法进行边缘提
取。该方法消除了由于照明而引起的目标物体的阴影边缘,并且直接提取出目标物体的边缘
轮廓,对背景噪声有很好的抑制作用。与常用的边缘检测算子相比,该方法能更有效、准确、
完整地提取出目标物体的边缘,明显优于传统的边缘检测算子-A mathematical morphology-based edge detection method. The method first color image pre-processing, and then Lee
Using mathematical morphology morphological gradient of image transformation, and finally through the edge detection based on statistical methods to the edge
Check. This method eliminates arising as a result of lighting the shadow of the edge of the object and are directly extracted from the edge of the object
Outline of the background noise have a good inhibitory effect. With the commonly used edge detection operator, this method can be more effective, accurate,
Completely extracted from the edge of the object is clearly superior to the traditional edge detection operator Platform: |
Size: 141312 |
Author:selfish |
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Description: 提出了一种基于数学形态学的边缘提取方法。该方法先对图像进行颜色预处理,再利
用数学形态学对图象进行形态学梯度变换, 最后通过基于统计学的边缘提取方法进行边缘提
取。该方法消除了由于照明而引起的目标物体的阴影边缘,并且直接提取出目标物体的边缘
轮廓,对背景噪声有很好的抑制作用。与常用的边缘检测算子相比,该方法能更有效、准确、
完整地提取出目标物体的边缘,明显优于传统的边缘检测算子-A mathematical morphology-based edge detection method. The method first color image pre-processing, and then Lee
Using mathematical morphology morphological gradient of image transformation, and finally through the edge detection based on statistical methods to the edge
Check. This method eliminates arising as a result of lighting the shadow of the edge of the object and are directly extracted from the edge of the object
Outline of the background noise have a good inhibitory effect. With the commonly used edge detection operator, this method can be more effective, accurate,
Completely extracted from the edge of the object is clearly superior to the traditional edge detection operator Platform: |
Size: 120832 |
Author:氢气球 |
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Description: 提出了一种室内静止摄像机条件下的运动目标检测和阴影抑制方法。该方法采用一种自适应的背景估计方法来实时更新
背景,用基于概率分类法检测运动目标,并在联合HMMD色彩空间和光度特征来抑制阴影之后,用Sobel边缘检测来修正运动目
标。实验结果表明,该方法能够有效地检测运动目标和抑制阴影。
-An indoor stationary camera under the conditions of moving target detection and shadow suppression method. The method using an adaptive background estimation method to the context of real-time updates, with classification based on the probability of detection of moving targets, and in the United HMMD characteristics of color space and to curb the shadow of light, the use of Sobel edge detection of moving targets to fix. The experimental results show that this method can detect moving targets and suppression of the shadow. Platform: |
Size: 96256 |
Author:沛洋 |
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Description: 提出了一种用于运动阴影检测的Boosting判别模型.这种方法先利用Boosting在不同的特征空间来区分前景和阴影,然后在判别随机场(DRFs)中结合前景和阴影的时空一致性,实现对前景和阴影的分割.首先,差分前图像与背景图像得到颜色不变子空间和纹理不变子空间 然后在这两个子空间上应用Boosting来区分前景和阴影 最后利用前景和阴影的时空
一致性,在判别随机场中通过图分割的方法准确地分割前景和阴影
-A new method for the detection of movement of the shadow of Boosting discriminant model. This approach to the use of Boosting in different feature space to distinguish between prospects and the shadow, and then identify with the airport (DRFs) in light of the prospects and the shadow of the temporal and spatial coherence, the realization of shadow on the prospects and the partition. First of all, the difference with the background image before the image to be the same color and texture subspace invariant subspaces and then the application of these two sub-space to distinguish between Boosting prospects and shadow Finally, the prospects and the shadow of the space-time consistency in the identification with the airport through the partition plan divided the method is accurate and the shadow of the prospects Platform: |
Size: 684032 |
Author:沛洋 |
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Description: 。此算法是对灰度图像的处理,主要包括背景减
除、二值化、阴影检测、后处理等几个模块。-. This algorithm is a gray image processing, including background subtraction, binary, shadow detection, post-processing, and several other modules. Platform: |
Size: 277504 |
Author:xxx |
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Description: 采用RGB模型进行阴影的检测与去除。能够显示前景、背景、去除阴影后的运动目标-RGB model with shadow detection and removal. To show foreground, background, after the removal of shadows moving target Platform: |
Size: 41984 |
Author:chenjz |
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Description: 本文提供了基于局部颜色信息不变的阴影检测方法,根据,被覆盖为阴影的区域与原背景区域的RGB分量之间的关系,推导出阴影区域的特点。-This article provides a constant shadow detection method based on local color information to be overwritten as the shadow area and the original background of the region between the RGB components, deduce the characteristics of the shaded area. Platform: |
Size: 1168384 |
Author:张娜 |
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Description: 基于背景的目标检测,是全面的MATLAB代码,运动视觉中目标的精确提取与跟踪算法,包括运动检测、阴影消除、外轮廓提 取以及目标的跟踪四个方面。-Background target detection based on MATLAB code, is comprehensive, accurate extraction and target tracking algorithm for visual motion in four aspects, including motion detection, shadow elimination, contour extraction and tracking of targets Platform: |
Size: 7168 |
Author:焦 |
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Description: 数字图像处理中的背景差分,里面带有图片,能够直接运行程序,无需调试-Inside the background difference method in digital image processing, with pictures, can directly run the program, do not need to debug Platform: |
Size: 41984 |
Author:1233 |
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