搜索资源列表
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
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)
ostu图像分割阈值算法matlab源程序
- 实现视频前景目标提取，监控视频的提取，图像分割(Implementation of video foreground target extraction)
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.)
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)
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)
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.)
Foreground_Detection-master
- 对于视频中的前景目标提取，并转为灰度图片(For the foreground target in the video, extract it and turn it into a grayscale image)
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 frame with the background model, the foreground target is extracted)
ContextualMultiCameraTrackera
- 基于多摄像头的视频前景目标提取，多摄像头联合监控(Based on multi-camera video foreground target extraction, multi-camera joint monitoring)
lrslibrary-master (1)
- 基于RPCA算法的的前景目标提取的MATLAB程序(MATLAB Program for Foreground Target Extraction Based on RPCA Algorithm)
前景提取
- 本文展示了一种自动识别视频中移动目标的方法。论文中提取移动目标通过帧序列，这种方法不需要先验知识，比如：时间阈值调整。基于相邻帧的连续对称差分，我们能得到全分辨率显著图；然后利用最大熵方法计算阈值决定候选区域和获得兴趣点的种子；最后用修改的模糊生长方法获得最终的结果。本文中提出的算法是有效的、具有鲁棒性的。实验结果也证明它具有很好的效果。(This paper presents a method for automatic recognition of moving targets in vid
VIBE
- 前景目标提取，已经申请专利，比较快速好用(Foreground target extraction)
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.)
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)
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)