搜索资源列表
dspx
- 在matlab环境下讲视频文件读入,程frames状,基本上所有的视频格式都支持,(In the matlab environment, read the video file, cheng frames, basically all the video format support,)
manuab
- 数字视频技术的实验,关于穷尽块匹配算法的matlab程序及实验报告,,(Experiment of digital video technology, about the end of block matching algorithm matlab and experiment report,,)
mvlgiolication
- 简单的视频水印嵌入算法 matlab开发 不错的源码 很好(Simple video watermarking embedding algorithm matlab development good source is very good)
whwt-fatlab
- 这是一个matlab读取视频的例子,这种东西我新接触,不知道大家要不要(This is an example of a matlab read the video, this my new contact, don't know what you want)
avergBg_subtraction
- 采用平均背景法读取视频每一帧，计算出背景后存为之后差分对，仿真matlab版本2014a其他的没有测试，但是视频读取务必选用黑白视频。(Using the average background method to read video each frame, calculate the background, save as after difference, simulation matlab version of 2014a, the other did not test, but vide
hunhegaosi
- 混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2
video read
- 视频读取，用matlab读取一个.avi的视频文件，有效，便捷(Video reading, using MATLAB to read a.Avi video file, effective and convenient)
运动目标的跟踪检测
- 这是用MATLAB程序实现视频中运动的目标的跟踪检测,并附有一个小视频(This is the realization of tracking and detecting moving objects in video with MATLAB program, with a small video.)
15861255-1-80
- OPEN CV 配置学习视频 OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。(open cv learning video)
motion detection
- 这是一个动态检测的MATLAB文件，可以对视频中的动态图像分离出来。(This is a dynamic detection of MATLAB files, which can separate dynamic images from videos.)
matlab环境下的步态识别代码及视频序列
- 行人重识别 光流法 步态能量图 文件处理 归一化 步态识别(Pedestrian recognition, optical flow method, gait energy diagram, document processing, normalized gait recognition)
图像快速去雾
- 图像视频快速去雾 # Image-and-Video-Dehazing Matlab code for paper Convex optimization for fast image dehazing, by Jiaxi He, Cishen Zhang, Ran Yang and Kai Zhu Published in: 2016 IEEE International Conference on Image Processing(ICIP)