搜索资源列表
reacTIVision-1.3-src
- 计算机图象处理 reacTIVision is an open source, cross-platform framework for the fast and robust tracking of fiducial markers. It allows the rapid development of table-based tangible user interfaces. This framework has been developed by -com
人体步态跟踪识别bate版
- 人体步态跟踪识别bate版，建立自适应背景，对图像序列的运动人体进行步态识别。自动检测-human gait recognition IASAS version tracking, establish adaptive background, the image sequence for the movement of human gait recognition. Automatic detection
cvmedianfilterDlg
- windows下用opencv实现的图像变换和视频跟踪，做图像视频处理的可以好好研究一下！-windows achieved using opencv image transform and video tracking, so video images can be handled properly to look at!
lkdemo
- lk demo - opencv demo for image tracking-lk demo- opencv demo for image tracking
trackingbyMFC
- 通过vc++的MFC编写的一个智能的视频跟踪系统，采用了camshift算法和MFC结合，从摄像头读取数据，能够控制跟踪和保存图像等功能，性能相当不错！-By vc++ for MFC written in an intelligent video tracking system, using algorithms and MFC camshift combination of read data from a camera that can track and save the image c
MeanShift
- 介绍了meanshift在视频图像跟踪方面的应用-Meanshift introduced in the application of video image tracking
ji
- 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、 标行为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。 -Moving target detection is the video surveillance system, the bottom is the target tracking, target classification, and so on the basis of standard behavior understanding, so vide
s12
- 基于ccd摄像头的图像循迹智能小车设C程序代码。所用单片机为s12系列单片机-Smart Car Image Tracking
kalman-target-tracking
- 简单的图像追踪程序，运用卡尔曼滤波-背景差法实现对物体的追踪和标注-Simple image tracking process, the use of Kalman filter- background subtraction to achieve the tracking and labeling of objects
meanshif-demo
- VC++ meanshift跟踪摄像头内目标的源码。无需opencv。需要directshow环境。 先点击确定，摄像头采集图像。然后拖动鼠标在图像中画红框，即可标定目标。 然后点击开始即可实现meanshift跟踪-VC++ meanshift within the target tracking camera source. No opencv. Need directshow environment. First click OK, the camera capture image
GMM
- 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For c
ObjectTracking-master
- 目标跟踪程序，是学习数字图像处理的好范例。-Target tracking process, it is a good example of learning digital image processing.
二值化+膨胀+左右转向 三区域
- 摄像头巡迹采用OV2640实验三区域图像巡迹小车(Camera tracking, the use of OV2640 experiment, three regional image tracking car)