搜索资源列表
sar-images
- 这是几幅比较好的SAR影像，可用于去噪或者目标提取、分割等算法的示例图像，图片比较清晰而且地物比较丰富。-This is the good pieces of SAR images can be used for denoising or object extraction, image segmentation algorithm for example, the picture is relatively clear and ric
shipin
- 主要是对视频的提取,即对视频中运动目标的提取。-describe the methed of video
seg
- 程序从一副图像中提取你想要的物体，首先把图像做些预处理，然后分割为一个个离散的目标，然后你想要哪个目标，提取就可以了。 -failed to translate
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, sha
相邻帧差法提取运动目标并计时
- 混合高斯模型提取运动区域算法。。。。。。。。。(Hybrid Gauss model for moving region extraction)
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 fr a me difference method)
jisi
- 图像提取动态前景目标，背景差分法和侦差法(Image extraction, dynamic foreground target, background difference method and reconnaissance difference method)
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.)
OpticalFlow-master
- 光流法实现对视频目标的提取，适用于运动相机拍摄的物体(Optical flow method to achieve the extraction of video objects, suitable for sports camera shooting objects)
backgroundsubtraction-master
- 通过对每帧的图像与背景模型进行对比，进而提取前景目标(By comparing the image of each fr a me with the background model, the foreground target is extracted)
matlab
- 用改进帧间差分法提取前景运动目标，运行速度快，但是精度较低(An improved fr a me difference method is used to extract foreground motion targets)
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)
first
- MATLAB 里基于背景差法提取前景目标，已经试过，可以提取(Foreground target extraction based on background subtraction)
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)
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.)
trackingMethodsOnHighwayFScore
- 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.)
目标检测
- 运动目标获取，利用帧间作差，来提取出视频中运动的目标(moving object detection)
sy5
- 利用混合高斯模糊算法提取视频前景图，可以将静态视频中的动态目标提取出来。方便观察研究运动目标。(Using hybrid Gauss fuzzy algorithm to extract video foreground images, dynamic objects in static video can be extracted. It is convenient to observe and study the moving ta
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 onlin
bgs(1)
- 监控视频中，不缓动镜头下，不变静态背景下的前景目标提取，环境C++(In surveillance video, foreground objects are extracted under the same static background without moving shots, and the environment C++)