搜索资源列表
Parzen_LOO
- Parzen windows needed for Gaussian mixture to evaluate the pdf
gussmix
- 本程序是对混合高斯模型的改进，从RGB空间转化到HSV空间。运行时要装OPENCV-This program is a Gaussian mixture model improvement, space conversion from RGB to HSV space
mixture_of_gaussians
- 基于混合高斯背景建模的理论思想，实现运动目标检测，检测效果理想-Gaussian Mixture Background Modeling Based on the theory of ideology, to achieve moving target detection, test results are satisfactory
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- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-A Locally Gaussian Mixture Based RBF Network for Classification of Chinese
gaussbylulu
- 自己从ipencv里抓出来的混合高斯建模，适合移植到嵌入式里-His grasp from the inside out ipencv Gaussian mixture modeling, suitable for transplant into the embedded-ri
gmm2n
- 集合混合高斯模型的图像目标分割算法的VC实现-Gaussian mixture model for image set goals to achieve segmentation algorithm VC
mtest_new5_simple1
- matlab实现的对样本视频的混合高斯模型的检测代码-Sample video detection code Gaussian mixture model
backgroundmix
- 混合高斯建模，基于OPENCV，调试通过，对初学都有很大帮助-Gaussian mixture modeling, based on OPENCV, debugging through, is very helpful for beginners
gaosi
- 基于VC6.0编程的混合高斯模型，采用OpenCV技术 可以对摄像头数据 或是本地avi视频数据进行处理。-Programming based on Gaussian mixture model VC6.0 using OpenCV camera technology data can be local or avi video data for processing.
xiaobo
- ．首先，建 立背景的混合高斯分布模型和阴影颜色模型，通过差分法提取前景区域并结合Gabor小 波纹理特征分析找出潜在的阴影点；然后通过阴影颜色模型对这些潜在的阴影点进行颜 色分析；最后通过后续处理，找出真正的阴影区域-. First of all, to establish the background Gaussian mixture distribution model and the shadow color model, by differential extraction
grayplay
- 使用3阶混合高斯模型进行运动目标提取并进行背景更新-Using Gaussian mixture model of order 3 moving object extraction and background update
Gaussian_mixture_model_based_on_OpenCV_and_Moving_
- 基于OpenCV与混合高斯建模的运动目标检测,大体介绍使用opencv库，来进行混合搞死建模运动目标检测-Gaussian mixture model based on OpenCV and moving target detection, general introduction to use opencv library to model mixed Gaosi moving target detection
start_thesis_book_here
- Speech Enhancement A Bayesian Estimation Approach Using Gaussian Mixture Model
ce_gauss
- Multivariate Gaussian Mixture Model Optimization by Cross Entropy
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
DeepShah
- Motion Based Bird Sensing Using Frame Differencing and Gaussian Mixture
modelbasedonspectrumprediction
- 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spec
Object_Detection_GM
- 基于opencv，对场景背景Gaussian Mixture建模，从而提取前景目标-Moving Target Detection based on back ground modeled as Gassian Mixture
GAUSSIANloglikelihood
- GMM高斯混合模型大规模概率对数计算 需要一个模型地址文件和一个需要识别的声音的mfc文件可以一次执行大批量-GMM Gaussian mixture model probability on the number of large-scale computing need a model of address file, and the voice of the mfc file which need to be identified .can be an implementation
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam