搜索资源列表
optical_flow_Lucas_Kanade_matlab_code
- 一个光流算法的matlab源程序，在图像处理、前景检测与跟踪等方面有很多应用，推荐
non_parameter_object_detection
- 非参数前景检测方法现在本人已经编写成了一个类，可以直接调用，该方法在检测前景目标上效果最好，各个函数功能在头文件中以详细说明，具有很大的参考价值
detecting
- 运动目标检测,背景差分法提取运动前景目标，背景自动更新-moving object detection
MovingDetection
- 用Opencv实现的一个运动检测的程序。通过摄像头捕捉，把捕捉到的图像分为前景和背景，从而检测出运动图像。-Achieved with Opencv a motion detection process. Captured by the camera, the captured image are separated into foreground and background, to detect the moving image.
ACMMM2003
- 介绍一种应用于视频运动检测中前景和背景建模分割的方法-proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes both gradual and sudden “once-off” changes.
IPCA
- 用增量子空间学习法（IPCA）实现车辆的前景检测-With incremental subspace learning method (IPCA) to achieve the prospect of testing vehicles
yyqc
- 采用RGB模型进行阴影的检测与去除。能够显示前景、背景、去除阴影后的运动目标-RGB model with shadow detection and removal. To show foreground, background, after the removal of shadows moving target
cvbgfg_acmmm2003
- 本算法是在openCV的平台下一种视频前景检测的方法，是Liyuan在ACM Multimedia 2003会议中发表的论文的思想-The algorithm is a platform in the openCV the prospects of a video detection method is Liyuan at the ACM Multimedia 2003 conference papers published in the idea
MOTION
- 帧差法运动目标检测,运动目标检测是计算机视觉的一个研究热点，在视频监控，军事侦察等领域有着广泛的应用前景。在这些应用中，大家比较关注运动着的物体，因此，对运动目标进行检测的意义显得格外重要。本文以视频序列作为研究对象，在现有研究成果的基础上提出一种算法，并在VC上实现-DIFF-FRAME DECTECTION
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
基于MOG的视频前景检测MixGaussExtractForeground
- 基于MOG的视频前景检测算法，利用OpenCV做前景提取(Video foreground detection based on MixGaussExtractForeground MOG)
视频前景获取
- 用于检测视频中的前景信息，并生产成图像。
基于帧差法的运动目标检测的matlab代码
- 基于MATLAB的视频前景提取，使用帧差法。(Video foreground extraction based on 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)
mixture_of_gaussians
- 采用高斯混合模型来对目标进行前景检测，并用MATLAB实现。(The Gauss mixture model is used to detect the foreground of the target, and it is implemented by MATLAB.)
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.)
multiObjectTracking
- 在静态背景下，提取运动物体(前景检测）并对其标号(In the static background, the moving object (foreground detection) is extracted and its label is extracted)
FGseg
- 用于视频前景目标提取，包含测试数据，可运行(This package can be used for video foreground target extraction. It includes executable programs and test data files and thus it can be run directly.)
TrafficDetection-master
- 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. In particular, the system provides robust foreground segmentation of moving vehicles