文件名称:GMM
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 16kb
- 下载次数:
- 0次
- 提 供 者:
- 朱**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
本代码建立高斯混合模型(高斯多模型)(GMM),将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc.
相关搜索: GMM
Object
Detection
and
Tracking
matlab
目标检测
video
detection
using
matlab
高斯混合模型
video
motion
detection
matlab
motion
detection
in
video
using
This
code
sets
up
Gaussian
mixture
model
运动目标检测
motion
detection
and
tracking
MATLAB
Object
Detection
and
Tracking
matlab
目标检测
video
detection
using
matlab
高斯混合模型
video
motion
detection
matlab
motion
detection
in
video
using
This
code
sets
up
Gaussian
mixture
model
运动目标检测
motion
detection
and
tracking
MATLAB
(系统自动生成,下载前可以参看下载内容)
下载文件列表
GMM_高斯多模型_高斯混合模型\mixture_parameters.m
...........................\update_mixture_params.m
...........................\segment_image.m
...........................\foreground_objects.m
...........................\display_result.m
...........................\load_data.m
...........................\best_background_image.m
...........................\GMM_images.m
...........................\GMM_video.m
...........................\framedifference_video.m
...........................\adaptive_video.m
GMM_高斯多模型_高斯混合模型
...........................\update_mixture_params.m
...........................\segment_image.m
...........................\foreground_objects.m
...........................\display_result.m
...........................\load_data.m
...........................\best_background_image.m
...........................\GMM_images.m
...........................\GMM_video.m
...........................\framedifference_video.m
...........................\adaptive_video.m
GMM_高斯多模型_高斯混合模型