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4 个仓库

Awesome GitHub RepositoriesMotion Estimation

The process of analyzing sequential frames to identify block-based motion vectors for compression.

Distinct from Motion-Based Frame Interpolation: Distinct from frame interpolation as it focuses on analyzing and encoding motion rather than generating new intermediate frames.

Explore 4 awesome GitHub repositories matching graphics & multimedia · Motion Estimation. Refine with filters or upvote what's useful.

Awesome Motion Estimation GitHub Repositories

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  • leandromoreira/digital_video_introductionleandromoreira 的头像

    leandromoreira/digital_video_introduction

    16,232在 GitHub 上查看↗

    This project is an educational suite and technical guide designed for mastering video codecs and signal processing. It provides a structured curriculum through an engineering course, interactive labs, and tutorials focused on the fundamental principles of video compression and digital signal processing. The resource includes a technical guide for analyzing specific codecs like AV1, VP9, and H.265. It distinguishes itself by providing a containerized media lab, which ensures a consistent development environment for experimenting with video technology tools and notebooks. The project covers a

    Identifies and encodes changes between sequential video frames using block motion compensation and motion vectors.

    Jupyter Notebookadaptive-streamingarithmetic-codingaudio
    在 GitHub 上查看↗16,232
  • yangchris11/samuraiyangchris11 的头像

    yangchris11/samurai

    7,083在 GitHub 上查看↗

    SAMURAI is a zero-shot visual tracking model that adapts the Segment Anything architecture for video object segmentation. It uses a first-frame prompt, such as a bounding box or mask, to initialize tracking, then employs a motion-aware memory mechanism that stores and updates temporal motion features across frames to guide mask refinement. An online memory update strategy continuously refreshes this memory with new frame predictions, while temporal motion encoding computes optical flow between consecutive frames to inform object boundary and occlusion handling. The system is designed for real

    Computes optical flow between consecutive frames to inform object boundary and occlusion handling.

    Python
    在 GitHub 上查看↗7,083
  • shimat/opencvsharpshimat 的头像

    shimat/opencvsharp

    6,011在 GitHub 上查看↗

    OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin

    Implements dense optical flow estimation using the Brox variational method for motion analysis.

    C#computer-visiondotnetdotnetstandard
    在 GitHub 上查看↗6,011
  • zalo/mathutilitieszalo 的头像

    zalo/MathUtilities

    4,742在 GitHub 上查看↗

    MathUtilities 是一个专门的工具包集合,提供用于几何、计算机视觉、数学、物理模拟和信号处理的引擎。它作为一个全面的数学和物理库,专注于技术应用中的线性代数、数值优化和几何计算。 该项目的独特之处在于物理模拟工具包和 3D 几何引擎。这些工具提供了用于 Verlet 积分、迭代逆运动学求解器、通过体积光线步进(raymarching)进行的距离场渲染以及网格几何变形的功能。它还包括一个用于估计相对相机运动和生成鱼眼投影的计算机视觉实用程序。 该库涵盖了广泛的功能领域,包括使用闵可夫斯基差和空间哈希的碰撞检测系统、机器人运动规划,以及使用卡尔曼滤波进行降噪的信号处理。其他功能包括数值数据优化、用于点集拟合的线性代数运算,以及用于对象层次结构的基于反射的 JSON 序列化。

    Solves for the relative motion between two images by tracking the movement of feature points.

    C#camerakalman-filtermath
    在 GitHub 上查看↗4,742
  1. Home
  2. Graphics & Multimedia
  3. Motion Vector Calculation
  4. Motion Estimation

探索子标签

  • Optical Flow Encodings1 个子标签Computes optical flow between consecutive frames to inform object boundary and occlusion handling. **Distinct from Motion Estimation:** Distinct from Motion Estimation: focuses on encoding optical flow for segmentation refinement, not block-based compression.
  • Relative CameraAnalysis of feature point movements between images to determine the relative spatial transformation of a camera. **Distinct from Motion Estimation:** Focuses on camera pose estimation via feature tracking, unlike block-based motion vectors for video compression.