搜索资源列表
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
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
ExtractForeground
- opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
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)
11
- 光流法处理图像，提取前景图像，复杂场景，动态目标(Optical flow is used to process images, extract foreground images, complex scenes, and dynamic objects)
平均背景法-动静态背景视频前景目标提取
- 平均背景法， 动静态视频前景目标提取， 输出mask， opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
Lucas_Kanade
- 光流法提取动态背景前景目标，具有良好的抗噪和抗干扰能力。(Optical flow extraction of dynamic background prospects, with good anti-noise and anti-jamming capability.)
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)
opncv
- 动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
sift代码
- sift处理图像，实现动态背景前景目标提取(Sift processing images to achieve dynamic background, 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
pom_1.1.tar
- 多摄像头前景目标提取，检测在室内的运动人物的编号，多个摄像头提供的同步图像确定同一个人。(Foreground target extraction from multiple cameras)
帧间差分法
- 通过帧间差分法提取视频前景目标，并进行后续形态学处理(The foreground of the video is extracted by frame difference method and the subsequent morphological processing is carried out)
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