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- 遍历某目录下文件 背景差法 求出动目标 并标记出来 包含读取连续帧图像-Traverse a directory file background subtraction method for the target and mark it out to read consecutive frames containing
Video-Demo
- 这是一个关于视频图像处理的，里边包含了帧间差分检测，背景差发检测。应用到了图像处理的相关技术-This is a video image processing, and inside contains a frame difference detection, background subtraction hair testing. Applied to image processing technologies
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.
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.
target-tracking
- 利用背景平均法，帧间差分法进行目标跟踪。还有基于Mean Shift的复杂背景的运动目标跟踪方法。-利用背景平均法，帧间差分法进行目标跟踪。还有基于m... Using the method of average background, two consecutive frames subtraction method for target tracking. There are complex background based on mean shift method of m
qq
- 基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好--Application of a two-dimensional filtering, target tracking based on background subtraction and interframe difference method better
31767665qq
- 基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好-Application of a two-dimensional filtering, target tracking based on background subtraction and interframe difference method better
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
Background-subtraction-method
- 帧间差分法从多帧连续图像提取背景 另一个是通过背景提取运动物体-Interframe difference from the background of continuous multi-frame image extraction, the other is to extract moving objects by background
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
MATLAB
- 基于背景差的背景更新程序 ，把视频提出各个帧，新背景= beijinggengxin(更新到第几帧，旧的背景）-Based on the background of poor background update program, put forward each frame of video, new background = beijinggengxin ( updated to the first of several frames, old background )
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
yundonggenzong_ssdut
- 背景减除目标跟踪方法在Matlab中的实现,通过利用视频前几帧的图像分析处理得到背景信息，然后利用背景差法实现运动目标的跟踪检测-Background subtraction target tracking method in Matlab to get background information through the use of the first few frames of the video image analysis and processing, and then use th
bgandfd
- 背景差与帧间差结合的运动检测，并在原视频中画出运动物体-Background difference and frame difference combination of motion detection, and draw in the original video of moving objects
A1rard
- 自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模 -Adaptive kernel density estimation motion det
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],
Object-Detection
- 具有实时检测、跟踪和分析判断的智能化监控系统是智能化监控系统发展的必然趋势，本文提出一种在实时监控下检测和跟踪运动目标的方法，首先使用背景差分法检测出运动目标，并定期使用背景更新策略对参考背景进行局部更新，这样可以提高目标检测的精确度。目标跟踪时在不同的尺度空间获得目标的关键点，增强算法目标在遮挡情况下的鲁棒性， 接下来使用mean shift 算法估计目标在下一帧的位置。-Intelligent monitoring system with real-time detection, track
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