搜索资源列表
gkp
- 这是用c#实现的david low的sift（尺度不变特征点变换算法）特征检测，面向对象的实现代码写的十分的好，是图形图象学习的好资料 -This is the realization of c # david low sift the (scale-invariant feature points transform algorithm) Feature detection, object-oriented code written in achieving very good, is s
code.rar
- 视频运动物体检测，采用混合高斯分布建立背景模型及差分方法对背景模型进行更新,Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
VideosTargetDetection.rar
- 1. 静态背景下的背景预测法目标检测2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法4. 重心多目标跟踪方法 ,1. Static background prediction in the context of target detection method 2. Static background frame difference method for target detection 3. Mean Shift Object Tracking Method 4.
capture.rar
- 运动物体检测与跟踪，绝对值得下载的程序，已经调试过的,Moving object detection and tracking, definitely worth downloading the program, has been testing
opticalflow.rar
- 用光流法进行运动物体的检测和跟踪，并返回运动方向,Light flow method of moving object detection and tracking, and return to the direction of movement
Addrectanglemotion.rar
- 利用质心法的OPenCV实现运动物体跟踪检测。非常实用。,OPenCV use of quality-force to achieve the detection of moving object tracking. Very useful.
Edge
- 使用LABVIEW语言编程，实现对图片中物体的边缘检测，适用于各种元件图片物体的边缘检测。-LABVIEW programming language used to realize the edge detection of objects in images for various components of the edge detection image object.
BlockSafe
- 图像识别在大楼安防中的应用例子，基于运动物体检测技术的摄像监控检测。-Image recognition applications in building security in the example of object detection based on motion detection technology for video surveillance.
GMM
- 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
shadow-removal
- 该代码用于在视觉智能监控/视频监控/视觉监控/视频智能监控中，消除阴影。阴影消除对视频监控具有重要的意义，能够有效地降低阴影对目标检测的影响，减小误检率和漏检率，提高对目标的识别效率以及监控系统的稳定性和可靠性。-This code is used to remove shadow in visual intelligent surveillance/video surveillance/visual surveillance/video intelligent surveillance. Sh
detecting
- 运动目标检测,背景差分法提取运动前景目标，背景自动更新-moving object detection
CvBSLibGMM
- 改进的高斯混合模型用于运动目标的检测和分割,利用C++和matlab混合编程.-Improved Gaussian mixture model for moving object detection and segmentation, the use of C++ and matlab programming mixed.
Diff
- 用opencv实现的，用对称差分法检测运动物体。-Opencv achieved by using symmetric-difference moving object detection.
paper
- 智能交通监视系统中基于边缘的运动目标提取算法 本文的算法是基于C++和OPEN CV实现的，要运行此程序首先要安装这两个软件 由于本文在采集图像时用到的视频图像较大 ，要100多兆，所以演示程序采用另一个视频，以观其效果 本程序中采用视频序列的前四十帧的奇数帧提取出背景边缘，用参数backframes来控制，backframes/2 即是采用的帧数。 cedge_thresh1和cedge_thresh2来控制做背景检测是用到的CANNY算子的两个阈值。
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
Cross-Correlation-Target-Image-Detection
- 正交相关目标检测，采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
Object-based-image-analysis
- 面向对象的遥感图像变化监测算法-英文参考文献，对专业人士一定有帮助-Object-oriented remote sensing image change detection algorithm- English references, will certainly be helpful for professionals
Edge-Detection
- An Augmented Reality app that demonstrates basic computer vision concepts such as greyscaling, thresholding, edge detection, homography, corner detection...its a long list. It paints a 3D image on any detected markers. Here is a crude video that