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track opencv实现的踪源码
- opencv实现的踪源码，简单易懂,opencv implementation of human motion tracking source, easy-to-read
FaceTracking
- 使用OPENCV库实现的人脸跟踪，需要安装OPENCV。输入源可以是视频，也可以是摄像头。可选择Harr特征和CamShift两种方法对人脸进行跟踪。还提供了视频保存的功能。-Library implemented using OPENCV Face Tracking, need to install OPENCV. Input source can be a video camera can also be. Harr features and CamShift choose two meth
tracker
- 人体识别跟踪程序，可自动计算识别人体，并根据运动趋势跟踪，重点设别头部和面部-Human identification and tracking procedures, can be automatically calculated to identify the body, and in accordance with the trend of tracking campaigns, the focus for other head and facial
Human_track
- human track This code could reduce you work easily-human track This code could reduce you work easily
MatlabGUI
- 用户界面（或接口）是指：人与机器（或程序）之间交互作用的工具和方法。如键盘、 鼠标、跟踪球、话筒都可成为与计算机交换信息的接口。 图形用户界面（Graphical User Interfaces ，GUI）则是由窗口、光标、按键、菜单、文 字说明等对象（Objects）构成的一个用户界面 -User interface (or interface) refers to: Human and machine (or process) the interaction betwe
Tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
Desktop
- i have wote a matlab code to track human in vidoe and this is well runing but i need a code for huma detection in maltab if anyone have thenm plz mail me on my adrees-i have wote a matlab code to track human in vidoe and this is well runing but i nee
New
- i have wote a matlab code to track human in vidoe and this is well runing but i need a code for huma detection in maltab if anyone have thenm plz mail me on my adrees-i have wote a matlab code to track human in vidoe and this is well runing but i nee
StereoVision
- Stereo Vision is an area of study in the field of Machine Vision that attempts to recreate the human vision system by using two or more 2D views of the same scene to derive 3D depth information about the scene. Depth information can be used to trac
HumanMotionTrack
- 基于opencv的运动人体检测。可以通过这个程序搭建自己的检测平台。-Based on opencv,this can detect moving human body.
MATLAB_GUI
- 用户界面（或接口）是指：人与机器（或程序）之间交互作用的工具和方法。如键盘、鼠标、跟踪球、话筒都可成为与计算机交换信息的接口。-User interface (or interface) is: Human and machine (or program) the interaction between the tools and methods. Such as keyboard, mouse, track ball, microphone and computer can become th
limb
- 反向动力学模型，可用于跟踪计算人体上肢各参数。-IK model, can be used to track human body upper arm.
Trace
- 人体跟踪系统源代码，可以追踪视屏中移动的人-Human tracking system source code, you can track the movement of people in Shiping
researchonDetectionandTrackofMovingHuman
- 本文构建了一套自动的运动人体检测跟踪原型系统，对从一台固定的数码摄 像机采集的视频图像进行处理与分析，能够检测和跟踪运动人体。该原型系统由 运动人体检测、运动人体跟踪、人群融合分离跟踪等部分构成 -This paper built an automatic detection of tracking the movement of human prototype system from a stationary digital video cameras capture the vi
tracking_person
- 在视频序列中跟踪人体位置，记录人体向量，此程序代码是利用图像的差分方法实现的-In the video sequence to track the human body position, recording the human body vector
track-eyes
- Eye tracking and the information provided by the eye features have the potential to become an interesting way of communicating with a computer in a human-computer interaction (HCI) system. So with this motivation, designing a real-time eye feature tr
adaboostPcamshift-face-detection
- The project tends to detect and track human face in a video via some basic algorithms. It uses adaboost for detection and camshift for tracking. It works well in stable environment.
HumanTrack
- this code is to track the human body in a serial of images or in a video。it uses c++ and opencv ，before using，u should makesure u have opencv。
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
human-detect-and-track-
- 为了检测红外图像序列中的运动人体，提出了一种基于最大后验概率 （MAP）-马尔可夫随机场（MRF）模型和亮度-距离联合直方图的人体实时检测 方法。该方法首先建立图像序列时空域联合的概率分布模型，采用基于 MAP-MRF 模型的前景检测方法得到可能为人体的感兴趣区域（ROI）。然后在以 ROI 中心点 为圆心的各个圆环域中统计其亮度信息，构建基于亮度-距离联合空间的分类特 征。最后，采用支持向量机（SVM）分类器对候选区域进行分类检测。不同红外 图像序列的实验结果均表明，本