Search - opencv tracking

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[Software Engineering] for_tracking DL : 0: OpenCV and TYZX: Video Surveillance for Tracking
Date : 2026-01-17 Size : 536kb User : humanbeing
[Software Engineering] RealTimeMeanShiftTrackingusingOpticalFlowDistribut DL : 0: 利用mean shift算法实现实时目标跟踪，并使用光流法进行目标检测-Using mean shift algorithm for real-time target tracking, and use the optical flow method for target detection
Date : 2026-01-17 Size : 2.66mb User : 张迎
[Software Engineering] Opencv-video-road-base DL : 0: 基于opencv的视频道路车辆检测与跟踪算法研究-Based on opencv video road vehicle detection and tracking algorithm research
Date : 2026-01-17 Size : 5.62mb User : 王华锋
[Software Engineering] OpenCV-VIDEO-DETCTION DL : 0: 计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作为计算机视觉研究的一个分支—运动目标的检测与跟踪，就是对视场内的运动目标，如人或车辆等，进行实时的观测，并在此基础上对被观测对象进行分类，然后分析它们的行为。近年来，计算机视觉的研究重点已经从对静态图像的研究过渡到对动态图像序列的研究上面，这方面的典型应用包括自动化的视频监控系统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频图像中的目标分析。 -Computer vision research using computer simulations of biological explicit visual function or macro science and technology. As a branch of computer vision research- moving target detection and tracking, that is, within the field of view of the moving target, such as a person or vehicle, real-time observation and classification based on the object being observed, and then analyze them behavior. In recent years, computer vision research focus has been the transition from a static image of the dynamic image sequences above, typical applications include automated video surveillance systems, video MPEG codec technology, the perception of the human-computer interaction interface, military guidance, radar target video image analysis.
Date : 2026-01-17 Size : 5.62mb User : 土豆
[Software Engineering] opencv-camshiftdemo DL : 0: camshift opencv跟踪源码+注释-camshift opencv tracking source+ comments
Date : 2026-01-17 Size : 4kb User : 沈先生
[Software Engineering] vehicles_detection_avl DL : 0: vehicles tracking by opencv
Date : 2026-01-17 Size : 15.41mb User : zubair
[Software Engineering] hough DL : 0: 基于OpenCV的hough变换检测图像直线,本代码能够识别焊缝跟踪功能。-OpenCV based hough transform to detect linear image, the code can identify seam tracking.
Date : 2026-01-17 Size : 1.71mb User : 黄凯军
[Software Engineering] opencv_track DL : 0: 用opencv实现轮廓提取和跟踪，在 vc++环境下实现运行-With opencv contour extraction and tracking
Date : 2026-01-17 Size : 13.72mb User : 孟斌
[Software Engineering] Face-tracking-plugin-for-Unity-3D-using-OpenCV--- DL : 0: Face-tracking plugin for Unity 3D using OpenCV - CamShift - YouRepeat_files
Date : 2026-01-17 Size : 3.85mb User : daniel
[Software Engineering] Multiple-objects-tracking-opencv DL : 0: Opencv多目标跟踪原理文档。详细讲述了如何实现多目标的算法。- Opencv principle of multi-target tracking documents. A detailed account of how the algorithm to achieve multiple objectives.
Date : 2026-01-17 Size : 1.23mb User : kyokyojiang
[Software Engineering] 099CCIT0394011-001 DL : 0: 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
Date : 2026-01-17 Size : 10.95mb User : 鍾德煥
[Software Engineering] ECDL2011_0962 DL : 0: 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
Date : 2026-01-17 Size : 1.21mb User : 鍾德煥
[Software Engineering] opencv-doc DL : 2: 图像数据操作（内存分配与释放，图像复制、设定和转换）图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出）矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解）支持多种动态数据结构（链表、队列、数据集、树、图）基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构）结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）摄像头定标（寻找和跟踪定标模式、参数定标、基本矩阵估计、单应矩阵估计、立体视觉匹配）运动分析（光流、动作分割、目标跟踪）目标识别（特征方法、HMM模型）基本的GUI（显示图像/视频、键盘/鼠标操作、滑动条）图像标注（直线、曲线、多边形、文本标注）-mage data manipulation (memory allocation and release, image copy, setting, and conversion) Image/video input/output (support file or camera input, image/video file output) Matrix/vector data manipulation and linear algebra operations (matrix multiplication, matrix equations, eigenvalue, singular value decomposition) Support for a variety of dynamic data structures (linked list, queue, data set, tree, graph) Basic image processing (denoising, edge detection, corner detection, sampling and interpolation, color transformation, morphological processing, histogram, image Pyramid structure) Structure analysis (connected domain/branch, contour processing, distance transform, image moment, template matching, Hof transform, polynomial approximation, curve fitting, ellipse fitting, the triangulation of the Camera calibration (search and tracking calibration mode, parameter calibration, basic matrix estimation, single stress matrix estimation, stereo vision matching) Motion analysis (opti
Date : 2026-01-17 Size : 3.55mb User : korbon
[Software Engineering] sample-Kalman.Object.Tracking DL : 0: CamShift Opencv CamShift Opencv -CamShift Opencv CamShift Opencv CamShift OpencvCamShift Opencv
Date : 2026-01-17 Size : 18.25mb User : fina
[Software Engineering] Point-tracking DL : 0: 基于Opencv的点循迹跟踪，可用opencv库函数识别特征点，后根据特征点之间的联系进而进行跟踪。-Opencv point tracking tracking based on available opencv library function identification feature points, according to the feature points between contact and tracking.
Date : 2026-01-17 Size : 656kb User : 图图