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.
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
FastCarDetectionUsingImageStripFeatures
- Fast Car Detection Using Image Strip Features.pdf 车辆检测较好论文，检测率很高，不需要背景学习-Fast Car Detection Using Image Strip Features.pdf better vehicle detection paper, the high detection rate, do not need to learn background
bgkVC6.0
- 可以很好进行背景差分,使用的是vc6.0软件加opencv1.0版本 ，读取的视频是avi格式的(background test vc6.0)
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)
webcode_static background
- 根据代码路径，识别AVI格式视频前景，减除背景(Identify video foreground and background subtraction)
trackingMethodsOnCar
- 目标检测，对包含动态背景信息的监控视频，设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
背景差-人-车多目标提取-背景提取
- 车流量检测,背景建模,人,单个车辆,多个车辆的检测(Vehicle flow detection)
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)
caffeine
- 现有的显着性检测方法使用图像作为输入，并且对前景/背景相似性，复杂背景纹理和遮挡敏感。我们探讨了使用光场作为显着性检测的输入的问题。(Existing saliency detection approaches use images as in-puts and are sensitive to foreground/background similari-ties, complex background textures, and occlusions. We ex-plore the pro
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)
111
- 基于色域的简单人脸检测，能从背景对比大的图片中找到人脸及五官的位置(Simple face detection based on color gamut)
海杂波背景下的CFAR目标检测
- 海杂波背景下的CFAR目标检测 论文 恒虚警 同频干扰(Target detection paper in the background of sea clutter)
XZX
- 全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
基于matlab的裂痕、划痕检测
- 基于matlab的裂痕、划痕检测 有三种划痕可以检测 通过不同的背景和不同的划痕程度可以很好分割出图像(Detection of cracks and scratches based on MATLAB)