搜索资源列表
MovingObjectDetectBaseOnOpencv
- 基于OPENCV的运动目标检测程序,可以应用于安防，非法人员入侵检测等应用中。-Moving object detection program based on OpenCV
Sgs
- 基于opencv的单高斯模型实现物体检测-Achieve object detection based on single Gaussian model opencv
Color-target-tracking
- opencv下实现基于均值漂移的追踪技术，运行程序是，用鼠标框选择一个有颜色的物体，可以对它进行追踪操作-Opencv under the mean shift based tracking technology, running the program is to use the mouse to a color object, you can track the operation
smoke_detection
- 使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法，检测出烟雾区域以及疑似烟雾区域；接着用背景相减的方法，检测出运动的物体；最后结合两种方法，只检测出运 动的烟雾区域，提取烟雾最大轮廓，绘制矩形框以示意。通过设置R、G、B的参数及阈值，可以得到满意的效果。 -Use VS2010+openCV. This paper is based on the color model and motion model for sm
cPTAMAR
- 画增强现实的物体，提取特征，跟踪特征点，画出物体的位置。效果还可以。用的是vs和opencv还有opengl-Draw augmented reality, extract features, track the feature points, and draw the object s position. Effect can also. Using the VS and opencv and OpenGL
mubiaojiance
- 基于opencv的寻找轮廓实现视频流的运动目标检测-Moving object detection achieve the video stream based on finding the contour opencv
opencvCar
- 本程序开发环境：vc和opencv 整体功能：是为了实现车载视频中车牌自动跟踪，检测，，定位，识别，视频中物体的跟踪必须是手动圈住才行，摄像头使用的是usb摄像头. 打开摄像头，可以看到视频中画面，移动鼠标圈住物体，可以自动跟踪。-This program development environment: VC and opencv The overall function: in order to realize the video vehicle license plate auto
tracking
- 提供了一种基于opencv，在视频每一针里面进行图像跟踪-object tracking based on opencv
moving-target-detection
- 静态背景下运动物体跟踪，采用L-K光流法，opencv源代码-Moving object tracking in static background, using L-K optical flow method, opencv source code
HOGCompute
- 根据2005年Dalal提出HOG特征计算原理，自己编写了HOG特征提取算法，此特征可以用于目标检测中，包括行人检测，采用编程语言为C++，采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This feature can be used in object
ExtractForeground
- opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
动态目标检测技术
- 视频中动态目标分析，采用OPENCV程序开发，能够快速识别动态目标，如马路上可以的目标车辆、安防监控中的可疑目标跟踪等。(Dynamic object analysis in video)
第16章 物体识别
- 物体识别，基于opencv，用c编写的物体识别教程(Object recognition, an object recognition tutorial based on OpenCV, written in C)
cameralink interface
- 项目包含用来连接TopSee电子公司的相机接口的C++ 的类，cameralink接口使用该公司提供的DLL文件。项目的输出数据到opencv中框架中相似的视频项目 参见Opencv libraries中NetSDK DLLPLayer(C++ class for interfaciing with TopSee Electronic Tech camera's using the provided DLL. Outputs to opencv Mat image frames similar
real_time_object_detection.py
- 动态识别，深度学习和OpenCV的实时对象检测。作者 Adrian Rosebrock(https://www.pyimagesearch.com/2017/09/18/real-time-object-detection-with-deep-learning-and-opencv/)
KCF.tar
- 实现C++的KCF目标追踪算法，需要opencv平台的支持！(KCF object tracking)
2Dpicture
- 通过opencv中的surf算法实现物体识别(Realization of object recognition by surf algorithm in opencv)
pytorch-yolo-v3-master
- 物体检测包YOLOV3，Pytorch实现，只需OPENCV和pytorch就可以实现objection detection(Object detection package YOLOV3, Pytorch implementation, only OPENCV and pytorch can achieve objection detection)
Python计算机视觉编程
- 本书介绍Python的计算机视觉编程，用清晰的Python示例，细致讲解对象识别、3D重建、立体图像、增强现实及其他计算机视觉应用技巧，给出了分析图像的工具与方法。内容：机器人导航、医学图像分析；图像映射与变换；多图像的3D重建；用聚类方法基于相似性和内容组织图像；基于视觉内容的图像检索技巧；实现图像内容分类和对象识别的算法；通过Python接口访问常用的OpenCV库。(This book introduces Python's computer vision programming. Wit
depth
- 使用 intel realsense D435 在opencv python平台下测摄像头与被测物体之间的距离。(The distance between the camera and the object under test is measured under the platform.)