搜索资源列表
GaussianModelTest
- 基于混合高斯模型的视频图像背景提取，在qt creator环境下实现-Gaussian mixture model-based video image background extraction
guass
- 混合高斯去除背景法，利用高斯模型去除背景，-mixed guass
Gaussian-mixture-model-based
- 基于自适应学习速率混合高斯模型的背景消除-Gaussian mixture model-based adaptive learning rate background elimination
mixture_of_gaussians
- 混合高斯模型来进行前景背景区分的matlab实现代码-Gaussian mixture model to distinguish between foreground and background matlab implementation code
GaussDetect
- 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
object-tracking
- 对视频作目标检测跟踪的VC++程序，使用了openCV开源库，包含帧差法、背景估计法、高斯混合模型法以及卡尔曼滤波。可正常运行。-VC++ program for target tracking,based on openCV, incuding multiple algrithms,such as Karlman filter.
Background-Extract
- 介绍了背景的提取与自适应更新的算法,提出了一种基于直方图统计与多帧平均混合的算法。 这种算法克服单纯的多帧图像在车流量多、车速低时出现拖尾和模糊的现象,且相对于混合高斯模 型,其计算复杂度较低。该算法已通过TIDM642 DSP硬件平台实现,实验图像结果表明,该背景提 取算法的速度快,且符合实际场景 -The paper introducesbackground extractionswith self-adaptive update algorithm and puts for
435234paper
- 从边检测边跟踪的角度探讨了图象序列中机动目标的形心跟踪问题,深入分析了强高斯噪声背景下目标形心估计的统计性质及用于形心估计的图象预处理方法。-Explored from the perspective of the side edge-detection tracking the centroid tracking of maneuvering targets in the image sequence, in-depth analysis of the statistical properti
GMM
- 利用混合高斯进行背景建模，实现运动目标检测-Gaussian mixture background modeling, moving target detection
Gaussian-mixture-model-algorithm
- 完整的背景混合高斯建模的程序，很不错，很好用-Gaussian mixture model algorithm
FastMixGauss
- 针对视频序列运动目标检测，用vc++实现快速高斯混合建模进行前景背景的分离。-In motion object detection of video sequence, with vc++ realize rapid gaussian mixture model carries on the separation between foreward and background.
MixtureGaussian
- 混合高斯模型背景算法实现视频序列中运动目标的检测-Realise moving object detection in video sequence with Gaussian mixture model background algorithm。
mixture_of_gaussians
- 高斯模型下交通视频的背景提取及运动车辆检测-The Gaussian model traffic video background extraction and sports vehicle detection
new目标检测的程序
- 混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频-The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video
GS
- 基于混合高斯模型的算法，我们可以利用该算法提取前景，检测背景！-Gaussian mixture model-based algorithm, we can take advantage of the the algorithm extracted prospects, detect background!
Zivkovic04icpr
- Zoran Zivkovic 写的一篇关于混合高斯进行背景检测的改进论文-Zoran Zivkovic wrote an article on the Gaussian mixture background detection improvements papers
gaosibeijing
- 采用高斯模型对背景进行去除，效果比较好。-Gaussian model to remove the background, the results were quite good.
rosyGaussModel
- 高斯混合模型实现视频图像的背景和前景的分离。输入为视频文件或者计算机上的摄像头。-Gaussian mixture model the background and foreground of the video image separation. The input video files or computer camera.
gaussian-mixture-model
- 基于高斯混合模型的背景减除法，及目标检测额实现-Based on the background of the gaussian mixture model reduction division, and target detection amount to realize
Gaussian-mixture-modeling
- 通过对序列图像进行混合高斯建模，分离背景和前景目标。-Gaussian mixture modeling of image sequences, separation of background and foreground objects.