搜索资源列表
VA052023.RAR
- 视频分析源码，打开，显示，播放视频文件，是视频处理的基础-video analysis source, open, display, broadcast video document is the basis of video processing
TextureSpectrum256
- 基于纹理谱的图象特征提取程序,用于图象与视频的分析与识别,该算法基于OpenCV.-based on the texture spectrum image feature extraction process for image and video analysis and identification, The algorithm is based on OpenCV.
iram-video
- h.263的文档（英文）PERFORMANCE ANALYSIS OF AN H.263 VIDEO ENCODER FOR VIRAM-H.263 files (English) PERFORMANCE ANALYSIS OF AN H.263 VIDEO ENCODER FOR VIRAM
plde13 QQ炫舞录像分析
- QQ炫舞录像分析 主要判断游戏对局是否有第三方软件（外挂）介入-QQ Dancer game game video analysis to determine whether the major third-party software (plug) to intervene
dct.rar
- 已知两个不同图像块亮度数据如下： （1）分析DCT原理，采用DCT方法，编程并计算相应的DCT系数，分析系数分布特点。 （2）依据视觉特性分析量化表步长的分布特点，完成DCT系数量化。 （3）采用Z形扫描，实现输出数据的统计编码，形成Video stream。 （4）采用IDCT重建图像亮度数据，计算SAD大小，分析产生误差的原因及采用DCT进行数据压缩的原理。（ ） （5）分别利用左上角1、3、6个系数重建图像，计算相应的SAD，并由
ExtendOne.rar
- 配合智能视频分析设备的二次开发用源码。提供MMS彩信，SMS短信报警输出。支持双屏显示。,Intelligent video analysis equipment with the secondary development with source code. Provide MMS MMS, SMS text messages alarm output. Dual display support.
视频解码算法介绍
- Mobile video surveillance represents a new paradigm that encompasses, on the one side, ubiquitous video acquisition and, on the other side, ubiquitous video processing and viewing, addressing both computer-based and human-based surveillance.
MyWriteAvi
- 在VC++6.0中，用OpenCV采集摄像机的视频图像，并保存为avi的视频文件，对OpenCV学习和视频分析的人员会有所帮助.-In VC++6.0, the use OpenCV camera capture video images and save it as avi video file, right OpenCV learning and video analysis staff will help.
Video-based-Gait-Recognition
- 博士论文；提出了幅值谱和反射对称作为关键帧特征的步态识别算法；小波速度矩和小波反射对称矩，以及用二者的结合来描述步态；分形维数小波分析描述子步态识别算法；静态特征和动态特征相结合的三维步态识别方法-Doctoral dissertation put forward the amplitude spectrum and reflection symmetry characteristics as keyframe gait recognition algorithm wavelet veloc
Handbook.of.Image.and.Video.Processing
- 英文原版。本书介绍了图像和视频处理方面的基本原理、主要技术和典型应用，相关的内容包括图像与视频的增强和恢复，分类和分割，图像边缘检测，图像处理算法，图像压缩、存储、重取和通信，以及图像处理的应用。-This Handbook represents contributions from most of the world’s leading educators and active research experts working in the area of Digital Image and
10[1].1.1.5.1092
- Video analysis of human dynamics is an important area of research devoted to detecting people and understanding their dynamic physical behavior in a complex environment that can be used for biometric applications. This paper provides a detailed s
TestMateDataDemo
- 本软件是基于智能视频分析设备MATE的metadata数据做分析后，将layout轨迹信息叠加到HIKVISION 的视频上进行显示。如有更进一步的需求，请与本人联系。xwyangjshb@21cn.com-This software is based on MATE' s intelligent video analysis equipment to do the data analysis of metadata, the information will be added to th
video-processing-and-communications
- 视频处理与通信-系统地介绍了视频信号分析和数字视频处理的基本原理。-Video processing and communication- a systematic introduction to the video signal analysis and the basic principles of digital video processing.
video-js-2.0.2
- video-js媲美jwplayer，开发网页播放器-Streaming media transmission TS flow, this this tool is mainly aimed at TS format analysis
VIDEO-ANALYSIS
- 用vc自带的类库打开视频，并进行一系列处理-Open the video with vc own class library, and a series of processing
vedio-analysis
- 视频分析，视频图像分析，视频中背景消除，视频内容分析，通过一些技术实现视频分析。里面有视频范例。-Video analysis, video image analysis of the video in the background to eliminate video content analysis and video analysis through technology. There are video example.
Matlab-codes-for-Segmentation-and-Traffic-video-a
- Multiple Matlab codes for Traffic Video Analysis, Segmentation of images, image matching, Region Growing code, Voice Recording Code.
Video-Analysis
- used for Motion Energy Image of a Video Motion History Image of a Video Given a video, load it and get the energy and history of the video
video-anylast
- 里面有贝叶斯，卡尔曼，以及二维交叉熵的代码，很实用，非常适合出入视频分析的同学-There are Bayesian, Kalman, and the two-dimensional cross-entropy code, very practical, very suitable for students to access video analysis
OpenCV_By_Example(中文版)
- 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示： 第1章 OpenCV的探险之旅; 第2章 OpenCV基础知识介绍; 第3章 图形用户界面和基本滤波; 第4章 深入研究直方图和滤波器; 第5章 自动光学检测、目标分割和检测; 第6章 学习目标分类; 第7章 识别人脸部分并覆盖面具; 第8章 视频监控、背景建模和形态学操作; 第9章 学习对象跟踪; 第10章 文本识别中的分割算法; 第11章 使用Tessera