搜索资源列表
FingerDetectLibraryDemo
- 关于手指识别、跟踪的一个很不错的C++例程-Finger identification, tracking is a very good C++ routines
dither
- 图象的边沿检测与提取，轮廓跟踪算法代码-Image edge detection and extraction, contour tracking algorithm code
lzlv
- 标准粒子滤波目标跟踪源码！ 一维情况下 非线性非高斯,-Standard particle filter target tracking source! One-Dimensional Non-linear non-Gaussian,
face_tracking_based_on_Camshift_and_morphology
- 基于kalman滤波和人脸形态约束的人脸跟踪算法实现，可在快速人脸跟踪的同时很好的去除类肤色的干扰，注意是基于OpenCV函数库的程序。-Based on kalman filtering and face shape Face Tracking bound algorithm may face in the fast track at the same time remove the category of very good color interference, the attention
windowsopencv
- 实现图像变换与目标跟踪应用OPENCV的源程序-Image Transform and target tracking applications OPENCV source
blobtrack
- tracking algorithm example
traceprogrames
- track1.m是二值图像边界跟踪的主程序，boundary_trace.m是二值图像边界跟踪的调用程序，完成图像的边界跟踪。 track2.m是灰度图像边界跟踪的主程序，boundary_trace2.m是灰度图像边界跟踪的调用程序。-track1.m is a binary image of the main border track, boundary_trace.m is a binary image border call tracking procedure to track t
ParticleEx1
- 扩展卡尔曼滤波与粒子滤波的比较，对某复杂函数曲线的跟踪。-Extended Kalman filter and particle filter compared to the complexity of a function curve tracking.
trackingGUI
- 视频追踪的框架算法，实现了基于meanshift和feature based的跟踪算法-Framework for video tracking algorithm meanshift based and feature based tracking algorithm
Eye_tracking
- 这个程序完成了人眼眼球的跟踪，使用matlab实现的-This process completed the human eye eye tracking, the use of matlab to achieve
camshift
- opencv 显示如何利用camshift算法进行彩色目标的跟踪-opencv shows how to use color camshift algorithm target tracking
snake_demo
- 一种关于snake算法的改进算法，很好的实现了边缘的跟踪与提取-An algorithm on the snake algorithm, the realization of the edge of a very good tracking and extraction
ReadingPeopleTracker-1.25
- 视频对象的跟踪提取原代码。 在一段视频里面可以跟踪人的运动，并且替换 -Extraction of video object tracking source code. In a video which can track people
face-location
- 用visual c++开发的人脸检测示例程序，实现人脸定位与跟踪-Using visual c++ Developed examples of face detection process, the realization of Face Locating and Tracking
Video_detection
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Algorithm for video presentation include: 1. Static background background prediction target detection 2.
MeanShiftcode
- mean shift 算法用于目标跟踪,其中有4个文件.-mean shift algorithm for target tracking, including four documents.
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
ramanan-cvpr05_1
- 斗殴行为识别 Strike a Pose: Tracking People by Finding Stylized Poses-Fight acts of identification Strike a Pose: Tracking People by Finding Stylized Poses
Robust3DHeadTrackingUsingCameraPoseEstimation
- 基于摄像机姿态估计的头部跟踪算法 用到Pnp算法-Attitude estimation based on the camera head tracking algorithm used Pnp algorithm
DigitalImageProcessing4
- 7.1 概述 7.2 边缘检测 7.3 边缘跟踪 4.1 概述 4.2 空域变换增强 4.3 空域滤波增强 4.4 频域增强 4.5 彩色增强 -7.2 Edge Detection 7.1 overview 7.3 Edge tracking 4.1 4.2 Enhanced 4.3 airspace airspace transform filter to enhance the frequency domain 4.4 Enhanced Color Enha