搜索资源列表
encodeBits
- 该程序实现了分布式视频编码的编码端，包括视频帧的分类、分块、DCT变换、量化、编码-The program implements a distributed video coding encoding side, including the classification of video frames, block, DCT transform, quantization, coding
Whl
- 改进的背景差分法，结合了背景差分法和帧间差分法的优点，能更好的进行视频处理。-Improved background subtraction method, combining the advantages of the background difference and frame difference method, and better video processing.
qq
- 帧间差分法，使用视频帧相邻两帧之间进行差值计算，从而检测出运动目标。-Interframe difference method, using two video frame adjacent to the margin calculations, to detect moving targets.
AVideo-Framen
- 视频帧分析源码，用于车辆检测及车车牌识别，采用背景差分法可直接使用。-Analysis of source video frame for vehicle license plate detection and recognitionn, the background difference method using the full source code can be used directly.
threeframeDifferencing
- 运动目标检测 三帧差分法 摄像头捕获视频-Motion object detection
motion-detection
- 将视频图像处理技术运用到中央空调节能控制中，利用帧间差分法与背景差分结合的方法，动态监测区域内人流量密度通过RS232串口将数据发送至PLC控制相应区域的制冷量和新风量-Video image processing technology applied to the central air-conditioning energy-saving control, the use of the interframe difference and background difference metho
detect
- 使用背景差分法，采用了高斯滤波法对其进行平滑，然后将视频的第一帧作为背景，其次，对去噪后的图像做帧与背景间的差分运算，再利用阈值分割，将运动目标从背景中提取出来-Using background subtraction, using the Gaussian filtering method was used to smooth, then the first frame of the video as a background, and secondly, the differential e
MST-Player-v1.5
- 运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点-Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better resul
DE2_LCM_CCD_detect_b
- 本程序基于Altera公司的DE2平台完成仓库的实时监控并对移动的目标进行自动识别和报警的FPGA设计，研究重点就是图像采集和移动目标识别的FPGA实现。采用Altera公司的DC2模版对视频进行采集并将采集到的图像信息进行缓存，通过监视器实时显示，采用帧间差分法对采集到的帧图像进行运动检测，当仓库中有运动情况的时候，两个图像间灰度会出现异常，通过对灰度异常的侦测完成仓库移动目标的识别并蜂鸣器报警。-Complete real-time monitoring of the warehouse a
Movingtargetdetect
- 帧间差分法进行运动目标检测，适用于对摄像头采集到的视频进行实时检测-Interframe difference method for moving object detection, real-time detection for video captured on camera
recognition-algorithm-design
- 运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for th
Video-Demo
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 -Video presentation of algorithms include: 1、Static Background prediction of target detection. 2、static background frame difference method target detection
Video-Demo
- 程序包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 对于做视频跟踪的很有帮助，程序很完整 -The procedures include: 1. Background prediction method in the static context of target detection. A static context of inter-frame difference
Vshipinni
- 视频运动目标检测，包括背景预测法目标检测和帧间差分法目标检测，，Meam Shift目标跟踪和多目标重心法跟踪，内含演示说明。 -Video moving target detection, including background prediction target detection and inter-frame difference method for target detection, target tracking and multi-objective, Meam the S
VideoDemo
- VC++视频处理框架，一款VC++视频目标检测演示框架的【源代码】，视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 -VC++ video processing framework, target detection demonstrates the framework of a VC++ video [source code],
sanzhenchafen
- 本程序是一种基于该井的帧差分的编程，对于做视频处理的朋友有一定的帮助-This program is a frame difference of programming based on the well, will certainly help a friend to do video processing
CarStreamTest
- 可分别对视频中的四个车道的车流数目进行统计 ，采用的的基于OpenCV+VC2008编程，车车辆识别采用背景差分法和邻帧检测法-Video can be respectively on the four lane number traffic statistics, the based on OpenCV+ VC2008 programming, the car vehicle identification adopted the background difference method and
images-shadow-dislodge
- 载入运动视频的每一帧，然后将其转化为灰度图，构造固定背景背景，基于差分法取出运动目标的阴影。-Loading each frame of video, and then be converted to grayscale
FindMoving
- 由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
vehicle-detection
- 基于帧间差分的方法用于检测场景中的运动车辆，采用Visual C++和OpenCV实现，程序有详细注释，并且附带测试视频，希望对大家有帮助。-The movement of vehicles based on frame difference method is used to detect scene using the Visual C++ and OpenCV realization procedures detailed notes, and come with a test video