搜索资源列表
Optical-Flow-master
- 计算光流场的几种方法,对比稠密光流场和稀疏光流场的优缺点(Several methods of calculating optical flow field are compared, and the advantages and disadvantages of dense light flow field and sparse optical flow field are compared)
ViBe
- 一种新的背景检测的算法，效果要比光流和帧差都好很多(A new algorithm for background detection is much better than light and frame)
optical flow tracker
- 光流法实现移动目标是追踪，检测物体位移，判断运动方向(Optical flow method to achieve the target is to track, detect object displacement, to determine the direction of movement)
0870162Horn-Schunck
- HS法计算光流场，内含高斯滤波，标记光流等方程(HS method to calculate the optical flow field, including Gaussian filtering, marking optical flow functions)
ConsoleApplication10
- 基于OpenCV的流光法跟踪运动物体的算法采用C++语言编写 开发平台:Visual C++(Based on OpenCV, the algorithm of tracking moving objects adopts c + + language to write development platform: Visual c + +)
Flow-master
- 光流代码，实现摄像头的驱动，链接上位机后可观察凸显(light stream; luminous flux)
siftflow
- sift描述匹配光流算法通过处理两帧图像得到光流场，可处理大位移运动。(Sift describes the matched optical flow algorithm. The optical flow field is obtained by processing two frames, and the large displacement motion can be processed.)
Optical-Flow
- 光流跟踪demo，金字塔实现，Pyramidal Implementation of the Lucas Kanade Feature Tracker Descr iption of the algorithm(Pyramidal Implementation of the Lucas Kanade Feature Tracker Descr iption of the algorithm)
guangliufa
- 一个比较不错的光流法追踪程序，希望对大家有一定的帮助。(A relatively good optical flow tracking procedures, we hope to have some help.)
cmonoFTSSG_2.0
- 通过orb角点检测和lk光流追踪法，对特征点进行追踪，并叠加物体(Through orb corner detection and LK optical flow tracking method, the feature points are tracked, and the objects are superimposed)
88287562MATLAB_optical_flow
- 基于光流的动态人脸识别方法。最初的方法，适合初学者(optical flow based dynamic face recognition method. The initial method is suitable for beginners)
6309923
- cmu车辆检测以及跟踪程序,采用光流法计算,()
ros_optical flow
- 利用基于ros的opencv中光流法进行动态跟踪(Dynamic tracking using optical flow method in opencv based on ROS)
Python实现聚类融合的目标跟踪算法
- Python实现目标跟踪算法，使用了模板匹配搭配光流法并使用聚类融合实现特征点分类聚合的算法。
python计算机视觉.pdf
- 本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on
Luacas_Kanade
- 在计算机视觉中，Lucas–Kanade光流算法是一种两帧差分的光流估计算法。它由Bruce D. Lucas 和 Takeo Kanade提出。(In computer vision, the Lucas - Kanade optical flow algorithm is a two frame differential optical flow estimation algorithm. It is proposed by Bruce D. Lucas and Takeo Kanade.)
微分同胚的log-demons图像配准2008
- 用SIFT结合光流场进行图像配准，得到不错的效果(The image registration is carried out with SIFT combined with optical flow field, and good results are obtained.)
ssdse
- matlab图像处理目标检测的小程序，光流法来检测目标物体(MATLAB image processing target detection small program, optical flow method to detect target objects)
renqunfenxi
- 光流法可以获得每帧图像的光流值，然后焓值法可以获得每一帧图像的能量焓值(The energy enthalpy of each frame can be obtained.)
imageStabilization-master
- 主要用于消除视频的抖动，消除由于摄像机抖动所产生的视频画面不稳定现象。(It is mainly used to eliminate the jitter of the video and eliminate the instability of the video picture due to camera shake.)