搜索资源列表
背景差分法实现运动检测
- 运动检测算法
codebook.rar
- 此代码实现了基于码书的背景建模法在运动目标检测中的运用,This code implementation code book based on background modeling method in target detection exercise in the use of
w4-moving-object-detection
- 此程序是针对视频中的运动目标的检测，程序中包括了背景建模、背景差法等功能的w4背景建模算法。-This procedure is for the video of the moving target detection, process modeling, including the background, the background difference method and other functions of the background modeling algorithm w4.
8iy8
- 实验发现，用背景减除方法也可以针对某些摄像机运动的情况，而非像大部分文章中所提到的该方法仅仅适合于摄-Experiments found that use background subtraction method can also be targeted at certain camera movements, and not like most of the article mentioned that the method is only suitable for photo
VideoSurveillance
- 本程序实现的是在复杂背景下进行运动目标提取的工作-This program shows that how to detect motiving object in complexity enviroment
blobtrack
- 针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪，本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架，建立了一个由人机交互界面模块；运动物体的前景检测模块；运动物体的团块特征检测模块；运动物体的团块跟踪模块轨迹生成模块；轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting，tracking and marking multipule specific targets in complex background．We use the ba
MovDetect
- 基于复杂背景，单运动目标的检测，原始混合高斯模型背景更新与检测-Based on complex background, a single moving target detection, the background of the original Gaussian mixture model updated with the detection
Tracking
- 使用卡尔曼滤波器设计的运动物体跟踪。适用于背景也是动态变化的物体跟踪-Tracking moving objects using a Kalman filter design. Applies to the background also dynamic object tracking
jquery.lavalamp.1.3
- LavaLamp是一个插件基于Ganesh Marwaha Guillermo劳奇和之前的插件,mootools和jQuery 1.1。x分别。使用滑动门CSS / Javascr ipt技术,LavaLamp允许您添加漂亮的背景运动悬停效果HTML列表使用宽松的图书馆。 -LavaLamp is a plugin based on Guillermo Rauch and Ganesh Marwaha s previous plugins for mootools and jQuery 1.
12752432detect_motion
- 智能视频监控运动目标检测,检测目标运动，前景和背景区分-Moving object detection, intelligent video surveillance, detection of target motion, foreground and background distinguish
m
- 智能视频监控运动目标检测,检测目标运动，前景和背景区分-Moving object detection, intelligent video surveillance, detection of target motion, foreground and background distinguish
Background
- 基于背景的目标检测，是全面的MATLAB代码，运动视觉中目标的精确提取与跟踪算法，包括运动检测、阴影消除、外轮廓提 取以及目标的跟踪四个方面。-Background target detection based on MATLAB code, is comprehensive, accurate extraction and target tracking algorithm for visual motion in four aspects, including motion detectio
main
- 视频车辆识别，通过背景建模的方法分离出运动的前景。-Video vehicle identification, isolated foreground moving through background modeling approach.
matlab_beijingchafen
- 使用MATLAB实现运动目标检测，用的是背景差分法-moving detection by matlab
背景差分法检测运动目标
- 背景差分法检测目标，用于背景为静态的，检测目标，背景图像与前景图像相分离(Background subtraction is used to detect targets for static background)
vidio object detection
- 用帧差法提取视频中的运动目标（静态背景）(Extracting moving objects in video by frame difference method)
背景差分
- 通过背景差分法获取运动目标检测，提取前景目标，转化成二值图(The moving target detection is obtained by the background difference method, and the foreground object is extracted and transformed into a two value graph.)
9_用光流法进行运动目标检测
- 光流法可以实现动态背景下的目标检测，效果良好(The optical flow method can realize the target detection under the dynamic background, the effect is good)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)
testgmm
- 实现运动目标检测算法的程序，应用的平台是matlab2016(The program to realize the algorithm of moving target detection, the application platform is matlab2016)