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AThreshold2
- 在某一个适当的阈值下，图像分割后的前景目标与背景两类之间差异最大的分割方法-appropriate in a certain threshold value, image segmentation goals and the prospect of background biggest difference between the two types of segmentation
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
BackgroundSubtraction
- 减背景算法，基于背景建模的方法获取前景目标，采用高斯混合模型
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
FgBgSubtract
- 前景背景分离的程序，用于提取固定背景下的视频中的运动目标-The prospects for the background separation process for extracting fixed in the context of the video moving target
backgroundupdating
- 提出了一种利用目标分割的结果来指导背景更新的方法。比较前景目标的波门位置以及波门内的运动点个数进行更新。-Presents a target to guide the segmentation results of the background updates. Comparison of the prospects for target location and wave-wave the door of the motor point door number to be updated.
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
eis
- 基于时空梯度的多分辨率目标跟踪稳像算法，该方法可用于处理有前景目标的图像，效果很好-Space-time gradient based target tracking of multi-resolution image stabilization algorithm
backrecognize
- 图像处理分为图片处理及视频图像处理，将视频流进行前景和背景分离，从而识别出前景目标-Image processing is divided into image processing and video image processing, the foreground and background video stream separated in order to identify the foreground objects
85520291DecodeFileDemoSource
- 图像处理，包括视频检测，前景目标提取以及背景提取和更新，可以实现目标识别-Image processing, including video detection, foreground object extraction and background extraction and updating, target identification can be achieved
Morphology0.2
- 此程序用来实现：形态学处理检测出的前景目标-This procedure used to realize: the prospect of morphology processing detected target
Motion-BasedForegroundSegmentation
- 编程实现视频前景目标提取，处理，特别是对于监控视频，实用性很大。(Programming implementation of video foreground target extraction, processing, especially for monitoring video, is very practical.)
Code
- matlab Code 图像识别提取前景目标(matlab code Image recognition, extraction, foreground target)
matlab
- 动态目标跟踪，静态背景，前景背景动态目标提取(Dynamic object tracking, static background, foreground background, dynamic object extraction)
GMMmatlab程序
- 混合高斯模型，用于背景变化无抖动的目标的前景提取(The hybrid Gauss model is used for foreground extraction of background invariant targets without jitter)
VIBE
- 前景目标提取，已经申请专利，比较快速好用(Foreground target extraction)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征，在线地更新参数和权重，实现运动检测和前景提取的同步进行，即采用混合高斯背景算法进行建模，以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
qianjing
- 前景目标提取运用侦差法，实现了二值化和膨胀处理(Foreground target extraction by Inter station difference method)
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.)
基于粒子滤波器的目标跟踪算法及C++实现
- 基于粒子滤波器的目标跟踪算法及C++实现，运行方式：按P停止，在前景窗口鼠标点击目标，会自动生成外接矩形，再次按P，对该选定目标进行跟踪。(The target tracking algorithm based on particle filter and C++ implementation, operation mode: stop by P, click the target in the foreground window, automatically generate the oute