搜索资源列表
adaptive_background_substraction
- 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 suppressio
simpledrawingprogram
- 用VS2005编写的画图程序，实现了画圆，直线，三角形等基本图元，可设置线性，颜色等，可打开图片设置为背景图片，阴影的属性等-VS2005 drawing prepared by the procedures and achieve the Circle, a straight line, triangle and other basic elements can be set up linear, colors and so on, can open the picture settings
yyqc
- 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
chayingfa
- 差影法去背景---部分测试，感觉还行，与大家分享，呵呵差影法去背景-Poor background--- Shadow law to some of the test, I feel also visit to share with you, huh, huh difference method to the background shadow
rentigenzong
- 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 proj
liti
- vb程序制作立体字体可以使字体的阴影、前景色、背景色进行更改！！可以改善字体显示的效果-vb procedure allows the production of three-dimensional character of the shadow of fonts, Foreground and background color change! !
ShadowDetecting
- 自适应背景下RGB.HSV阴影检测的方法及实时性比较-Adaptive background RGB.HSV shadow detection methods and real-time comparison
shadow3
- 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 m
shadow4
- 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
shadow5
- 分块的阴影检测方法：将每帧图像进行合理的分块,并且采用基于梯度的方法对运动区域边缘的小块进行合并。对每个小块根据阴影区域和对应的背景区域之间具有较强的结构相似性和色度近似性的特点进行阴影检测。 -The shadow of block detection method: The image of each frame block reasonable and based on the gradient method of movement of the edge of the small r
shadowdetectionhumans
- shadow detection for moving humans using gradient based background subtraction
ImageWaterMarkV253
- ASP.NET 2.53 缩略图水印组件源码 1.文字边缘（文字水印）； 2.图片旋转加水印； 3.修复水印位置旋转控制的精准度； 4.新增原图自定义删除 5.图像亮度、对比度、RGB颜色值的调整； 6.可获取生成后的图片路径 7.修复图片无损生成 8.修复之前的几处Bug 9.新增水印文字阴影禁启用 10.水印文字中文字竖形排列,增加文字纵横排列参数开关 11.图像效果单独处理 12.新版的调用将会更灵活 13.优化水印图片过滤背景色 14.新增和修改了一些函数接口。-ASP.NET 2.
xyinying
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
xtouying
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
Background-subtraction-and-shadow-detection-in-gr
- It is useful to developer who ieterest with shadow removal in video surveillance system
shadow-removal
- 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
shadow-removal123456
- 此算法很简单，用过调用函数，实现背景阴影的去除。-This algorithm is very simple, used the function, implementation background shadow removal。
Background
- 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 detectio
shadow-removal
- 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
bkmodel
- background subtraction for shadow detection and removal.