搜索资源列表
background
- BlackBerry Java mutiple process application One process is background auto run process and other one is Ui application started by alternate starting point(icon) Processes communicate using global inter proces
gmm
- 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
Codebook
- 这是背景建模中关于码本模型的经典文章，通过文章可以读者很快了解码本模型。-This is the background modeling yards this model on a classic article, the reader very quickly through the article can decode the model.
Gauss
- 关于视频跟踪，高斯模型建立，背景模型更新。-With regard to video tracking, Gaussian modeling, background model update.
matlabGMM
- 用matlab编的混合高斯模型的背景建模方法，可以参考一下。-Matlab compiled using a mixed Gaussian model of background modeling method, you can reference.
seg
- Improving Background Subtraction
BGS
- 基于各种算法的运动视频背景消除。使用opencv工具库，通过读取视频文件，处理视频，最后存储。-Background Subtract Algorithm
approximate_median
- 中位数近似算法实现的背景减除。matlab代码。-Median approximation algorithm for background subtraction. matlab code.
frame_difference
- 视频帧差算法实现的背景减除。matlab代码。-Video fr a me difference algorithm of background subtraction. matlab code.
mixture_of_gaussians
- 基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
project
- 一个多目标跟踪的matlab代码,里面附有说明文档.其中背景差分法可以实现实时更新.该代码在检测与跟踪少量目标时效果很好,但是跟踪目标大于8后,效果下降很多-A multi-target tracking matlab code, which accompanied by documentation. Including real-time background subtraction method can be updated. Th
MFCBackgroundSubtraction
- My project include some background subtraction methods
opencv
- 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian backgroun
GMM_bg_ex
- Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
beijingchuangjian
- 通过一个图像序列来创建背景图像，用于背景差分-Through an image sequence to create a background image for the background subtraction
singalframe
- 车辆视频检测，采用高斯背景更新方法，基于OPENCV的图像视频检测算法-Vehicle video detection, the Gaussian background updating method, based on video image detection algorithm OPENCV
MovDetect
- 基于复杂背景，单运动目标的检测，原始混合高斯模型背景更新与检测-Based on complex background, a single moving target detection, the background of the original Gaussian mixture model updated with the detection
7788
- 大名鼎鼎的方帅的博士学位论文---目前,计算机智能视频监控在理论和应用上都面临着很多难题,国内外大批学者投身于该领域的研究和探索,并且取得了大量的成果.本文是在这些成果的基础上,对计算机智能视频监控系统的关键技术进行研究.主要贡献可概括如下:首先,对目标检测技术进行了研究,并提出了一种基于背景建模的运动目标检测算法.利用统计的方法建立了基于颜色和颜色梯度的背景模型,并实时地对背景模型进行更新,最后将这两种背景模型综合考虑对目标进行了有效
back
- 背景差检测运动目标，个别子程序需要自己编写-Background subtraction detection of moving targets, individual subroutines need to write your own
Background_Subtraction
- 基于opencv的背景差法，实现前景和背景的分离。需要先配置好vc2008，然后编译执行。-Opencv background difference based method to achieve the separation of foreground and background. Need to configured vc2008, and then compile the implementation.