搜索资源列表
opencv-2D-3D
- 利用opencv自带的函数功能，编译出由两个摄像机，既双目视觉来获得物体的深度信息，最终得到三位映射。-Opencv own function, compile the object depth information obtained by two cameras, binocular vision, and ultimately get three mapping.
open--the--picture-by--opencv
- 借用VC++调用opencv函数进行图片打开，用于运动目标图片的检测-Use vc++ opencv function called open, used in the detection of moving object image
Find-Object-0.4.1-Source
- Detecting object by using real time system using opencv api-Detecting object by using real time system using opencv api
Opencv-ref-man-2.3.1
- opencv 2.3 英文详解 比较新 目录如下 Introduction 1 1.1 API Concepts 12 core. The Core Functionality 7 2.1 Basic Structures .7 2.2 Basic C Structures and Operations 45 2.3 Dynamic Structures 77 2.4 Operations on Arrays104 2.5 Drawing Functions
motion-object-detection
- 人体行为识别，运动目标检测openCV代码-motion object detection
object-dect
- 背景差分实现目标检测，用到opencv库函数-Background subtraction to achieve target detection, use opencv library functions
object-dect1
- 帧间差分检测目标，用到opencv库函数-Frame difference detection target, use opencv library functions
object-detect
- 运动目标检测，改改pro文件中的opencv路径可以运行，，主要是G-Moving target detection, changed pro file opencv path can run mainly GMM
retinex.opencv
- Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。-The basic theory of Retinex theory is
Video-moving-object-tracking
- 视频移动物体跟踪 PC端算法验证基于opencv-Video moving object tracking algorithm of PC validation based on opencv
Saving-And-Loading-openCV-Mat
- 提供读写Mat对象到文件中的函数 //Mat读写工具函数，比使用imwrite和imread的优点是：支持OpenCV支持的所有通道和位深。 //缺点是不能作为图像文件直接被其它程序兼容打开，另外不支持压缩-Two functions writing Mat object to file or reading Mat object file.
Object-Track
- Android-OpenCV Object-Tracking
Tracking_red-object
- OBJECT TRACKING OPENCV PROCESSING
main (2)
- 物体运动检测，功能简洁，代码简单，快速实现了此功能。VS2015 OPENCV2.9 WIN10(Object movement detection, the function is succinct, the code is simple, has realized this function rapidly.)
ObjectTrackingMovementCamera
- Moving object tracking from movement camera. Visual C++ with OpenCv image processing library
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)
zhenchafa
- 使用帧差法对视频中的目标进行跟踪，并画出矩形框与坐标。依靠opencv库，使用时需修改视频路径。(he frame difference method is used to track the object in the video, and the rectangle frame and coordinate are drawn. Depending on the opencv library, you need to modify the video path when using it.)
KinectCoordination
- 利用了微软的Kinect v2 开发了基于深度图像的人体目标的检测跟踪与定位，结合了VS2013，Qt以及opencv视觉库，设计了该系统的GUI界面(Using Microsoft's Kinect V2, we have developed the detection, tracking and positioning of human targets based on depth images. Combining the VS2013, Qt and opencv visual libr
ts2
- 测试特定颜色的物体 ，通过 hsv转rgb，然后选取红色(Test a specific color object, pass HSV to RGB, and then select red)
handDetectionCV-master
- Hand Detection Using Color Recognition Object Tracking and Gesture Recognition