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Description: 基于opencv和MFC的程序，可以实现打开摄像头，利用camshift跟踪等功能。-Based on opencv and MFC, you can open the camera to achieve, camshift tracking and other functions.
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Size: 3581952 |
Author: 蒲淳朴 |
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Description: 基于opencv的跟踪
采用块进行跟踪，对于理解跟踪思想很有帮助
欢迎下载-Pedestrian tracking code
Based opencv tracking using opencv
Using block tracking, tracking thought helpful for understanding
Welcome to download
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Size: 13019136 |
Author: yql |
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Description: 基于OpenCV，对视频中的特征点进行提取，并跟踪。-Tracking Feature Points in Video
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Size: 402432 |
Author: kilen |
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Description: opencv，图像处理，基于视觉的运动车辆检测与跟踪学习资料-opencv, image processing, vision-based motion detection and tracking of vehicles learning materials
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Size: 9605120 |
Author: 学屌 |
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Description: 光流法视频追踪代码，用opencv+c++编写的，能有效追踪。-Optical flow method video tracking code, written in opencv+c++, can effectively track.
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Size: 6144 |
Author: 邓雨 |
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Description: eyes tracking via webcam-Code based on openCV http://thume.ca/projects/2012/11/04/simple-accurate-eye-center-tracking-in-opencv/
Thanks the authors! It s very helpful!
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Size: 5777408 |
Author: 徐斐 |
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Description: 在Visual studio环境下基于opencv开发的人脸跟踪程序，采用CAMShift算法，实现多个人脸的跟踪。-Face tracking procedures based opencv in Visual studio, using CAMShift algorithm and realizing face tracking of several persons.
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Size: 15557632 |
Author: 苏鹏程 |
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Description: VisualC++下实现的视频中运动目标检测和跟踪的demo，没有使用opencv。-Video moving target detection and tracking under VisualC++ demo achieved without using opencv.
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Size: 512000 |
Author: 刘峰 |
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Description: 擴增實境技術是在真實視訊影像中加入虛擬物件，並透過追蹤與定位技術，可以與人們產生良好之互動效果。在視覺追蹤應用領域裡，可分為標記與無標記兩類應用。標記識別技術較為成熟，目前擴增實境開發平台以採用標記識別為主；至於無標記則侷限在特定方法之識別追蹤應用領域，例如樂高玩具利用包裝盒上之印刷圖片當作辨識物件。面對無標記擴增實境之應用日趨重要，且必須因應不同物件採用不同特徵之識別追蹤方法來達成無標記擴增實境之應用。而目前擴增實境平台並不提供模組化方式來替換識別追蹤方法，因此本文提出無標記擴增實境實驗平台，以現有擴增實境套件ARtoolKit為基礎，整合OpenCV與OpenGL函式庫，並採用模組化方式來設計視覺追蹤方法，做為驗證無標記擴增實境識別追蹤方法之平台，且透過視窗操作選擇不同視覺追蹤模組來呈現各式追蹤方法，以利分析驗證追蹤效能。-The technique of augmented reality (AR) is to augment 3D virtual objects into real images. Individual can interact with 3D virtual objects using tracking and registration methods. Visual tracking is the most popular tracking approach used in AR system, and markers are simply and generally used for identification and tracking. Moreover, natural feature or marker-less identification and tracking is getting more and more important and can be widely used in numerous applications. Therefore, many natural feature extraction and object tracking schemes are developed to efficiently identify and track natural objects. However, few of platforms are designed to verify different tracking algorithms for AR system. In this thesis, a novel tracking verification platform for AR environment, ARStudio, is proposed. ARStudio is on the basis of ARToolKit, and integrates the library of OpenCV and OpenGL. Furthermore, we modularize each component such as image capture, image transform, visual tracking, imag
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Size: 11484160 |
Author: 鍾德煥 |
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Description: 影像視覺追蹤與定位技術可用於擴增實境之應用，依使用標記與否，可分為標記與無標記兩類技術。標記識別技術較為簡單，且較為成熟，但受限於需使用特殊之標記。無標記識別技術使用一般自然物件來取代特殊標記，應用較為彈性，但必須能正確擷取出欲辨識物件有用之特徵點。現有擴增實境之開發函式庫或開發平台，主要目的為提供擴增實境之應用開發，不提供無標記擴增實境技術研究方法之驗證。故本文深入研究探討如何整合ARToolKit、OpenCV與OpenGL等函式庫，設計無標記擴增實境整合平台。且此平台各項功能採用模組化設計，以更彈性提供適用於無標記擴增實境物件辨識與追蹤相關方法之驗證。另外，本文並探討自然物件複雜度與移動速度對辨識與追蹤之影響，分析適用於擴增實境自然物件之特徵值，做為後續提出克服因低複雜度自然物件以及高速移動導致追蹤失敗之缺失，藉以同時驗證平台之適用性。本文之研究結果，可做為實現開發無標記擴增實境實驗平台之重要參考依據。-Visual image tracking and positioning technology can be used to amplify the reality of the application, according to the use of tags or not, it can be divided into two types of markers and unmarked technology. Mark recognition technology is more simple and more mature, but is limited to a particular need to use the mark. No mark recognition technology uses a natural thing to replace special mark, application of the more flexible, but I want to be able to correctly capture the suspicious object useful feature points. Augmented Reality existing library of development or development platform, the main purpose of providing augmented reality application development, do not provide amplification verify unmarked reality technology Research Methodology. Therefore, this paper discusses how to integrate in-depth study and other ARToolKit, OpenCV and OpenGL libraries, design unmarked Augmented Reality integration platform. This platform functions and modular design, in order to provide a more fle
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Size: 1263616 |
Author: 鍾德煥 |
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Description: OpenCV的模式识别，图像处理，与运动物体跟踪编程-
OpenCV pattern recognition, image processing, and moving object tracking program
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Size: 3636224 |
Author: 李灿 |
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Description: 光流法跟踪运动目标，opencv实现,欢迎有需要的朋友下载-Optical flow tracking moving targets, opencv to achieve，welcome to download
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Size: 424960 |
Author: 胡亚各 |
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Description: 跟踪算法代码，背景不变跟踪，opencv-Tracking algorithm code, change the background track, opencv
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Size: 22820864 |
Author: sunli |
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Description: 基于opencv库中的人脸识别代码，可以实现检测并跟踪视频中的人脸，可以选择训练人脸模型，或者直接加载训练好的人脸模型来识别视频中的人脸身份。-Based opencv library, this face recognition code can be achieve detecting and tracking faces in the video. You can choose training face model, or load directly trained human face models to identify the video face identity.
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Size: 2940928 |
Author: |
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Description: 人脸识别检测与跟踪，应用opencv+visual studio-face recognition and tracking
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Size: 17342464 |
Author: kevin |
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Description: 使用OPENCV,对交通视频，做帧间差及外轮廓提取跟踪,内包含测试视频数据，测试时，放于D盘根目录。-Using OPENCV, of traffic video, do and outer contour extraction tracking, frame difference contained within the test video data, test, put in D packing list.
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Size: 15222784 |
Author: 王鑫 |
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Description: 基于opencv的光流法源码，主要应用为目标跟踪，会给出目标运动角点的起始位置与当前位置的连线-Connection opencv source code based on optical flow method, the main application for the target tracking, target motion corners will give the starting position and the current position
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Size: 14344192 |
Author: 刘明 |
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Description: visualc++和opencv实现。点跟踪。改进的Lucas-Kanade光流算法，检测视频运动目标。鼠标点击目标点，视频跟踪。-Point tracking. Improved Lucas-Kanade optical flow algorithm, video motion detection target. Click on the target point, video tracking.
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Size: 9507840 |
Author: zdm |
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Description: A program using the OpenCV library which takes a video file and preforms vehicle and pedestrian motion tracking and detection outlining all the moving objects in the video.
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Size: 22528 |
Author: huang xing |
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Description: This is a program Multi-Target Tracking with OpenCV
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Size: 1024 |
Author: huang xing |
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