搜索资源列表
blobtrack
- vc6.0+opencv 区域跟踪(blob tracking)
TracKIT
- TrackIT是一款开放式的机器视觉开发平台，目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件，并在不断添加更新中，采用开源OpenCV、WxWidgets、CMU139等标准工具，使用XML动态解析界面，所有参数在界面上直接调整，同时可立即看到调整效果，并可动态加载组件，可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。
ConnectedComponentLabeler_v1.0
- 该算法为领域标记程序，可以检测 blob 区域-the algorithm for field marking procedures can detect regional blob
Realtimetracking
- 本文介绍了利用blob tracking进行人的跟踪的方法，是一篇不错的讲述目标跟踪的文章-This article describes the use of blob tracking methods for tracking people, is a good article about the target tracking
Low-complexity-background-subtraction-using-frame
- Tracking w/ blob detection, morphological operation (Togeather) frames = {avi.cdata} uses the cdata from the video file fg = extractForeground(frames) do foreground extraction cmap = colormap(gray) for i = 1:length(fg) temp0{i} = edg
human-detection_0.1_src_2011-02-10_Idiap_shared(1
- This system consists of human detection, human tracking and false object detection. The human detection utilizes the background subtraction to segment the blob and use codebook to classify human being from other objects. The optimal design
myblobtrack
- 团跟踪，用于人物检测跟踪，结合DOG算法，跟踪效果不错。-Blob tracking， for human detection，tracking， combined with DOG algorithm.