搜索资源列表
bkgrd
- 该代码利用背景建模检测运动物体,也是基于OPENCV的-The code detection using background modeling moving objects, is also based on OPENCV of
OpticalMotionEstimation
- 一种利用光流法检测运动物体的程序,供初学者参考。-Optical flow method by means of a moving object detection procedures for advanced users.
lunkuojianche
- 对运动物体进行检测,提取轮廓。能在系统实时性中验证-Of the moving object detection, contour extraction.
code
- 采用码书的法建立背景,在此基础上检测运动物体。-Established by using code book background, moving objects detected on this basis.
OpencvToIntroduceMovingTargetDetectionAndTracking.
- 基于opencv的运动物体跟踪与检测的算法论文-Opencv object tracking based on motion detection algorithm with the paper
IVS
- 打开一个图像或者视频文件,相应的轮廓检测功能,视频运动物体的跟踪功能-applications on image,tracking objects in the video
canny_3
- 关于边缘检测的强大算法,可以用于图像处理中运动物体的边缘检测。-Strong on the edge detection algorithm can be used for moving objects in image processing for edge detection.
VideoDemo
- 使用帧差法实现对视频中运动物体的检测,根据其轮廓对其跟踪-using the frame difference to detect the moving object in video detection, tracking them according to their profile
yundongjiance
- 运动视频的背景建模与运动物体的检测,包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
vpSAMPLE
- vp的事例:用户自定义的碰撞检测模拟:防止运动物体穿越地形上的房屋的物体-vp examples: user-defined simulation of collision detection: objects to prevent movement of housing across the terrain objects
20104226553336
- 2.1.0版重新架构了引擎,引入了三种新的连接(Joint),并重写了broadphase(广域碰撞检测),加入了kinematic物体(无质量的运动物体),Edge Shape(线段物体),Raycast(光线跟踪)等。具体可参考http://box2dflash.boristhebrave.com/docs/2.1a/updating。 在2.0.1版本中我极少考虑到类的封装,为的是编程和用户使用方便,但结构很不好,在这个版本中进行了修正。另外,这个版本的运行效率理论上应该比上个版本高,
Campaign-template-detection-(camera)
- 运动模板检测(摄像头),检测运动物体。(效果不是很好,画面太黑)。-Campaign template detection (camera), the detection of moving objects. (Results not very good, the screen is too dark.)
Detection-of-moving-objects
- 利用背景建模检测运动物体。视频是一个交通路面的视频(自己可以去下个)-Moving object detection using background modeling. Video is a video of a traffic road (they can go to the next)
VideoProj
- 此工程是运动物体前景分割检测算法工程,有较好的检测效果,在MD642视频处理平台上运行。其背景更新采用了基于直方图更新统计的算法,处理过程在tskProcss线程中进行,其函数定义在VidoeProcess.C文件中。处理包括,场调整,屏幕区域划分,帧下采样及缓存,背景获取,帧差分,获取阈值矩阵,分割,形态学滤波,以及各种屏幕区域的显示等。-This project is the forground segmentation for moving object. The background u
car-count
- 基于动态模板检测运动物体,检测高速公路上每个车道上通过车辆数目-Detection of moving objects based on dynamic template, testing each lane on the highway by the vehicle titles
mixture_of_gaussians
- 利用高斯背景建模,对运动物体进行动态检测,实现视频中的运动目标的识别-Gaussian background modeling, the dynamic of the moving object detection for video of the moving object recognition
20110627capturedetection
- OPENCV1.0所编写的程序,采用背景法,实现运动物体的检测,感谢Shiqi Yu 2006,提供的参考程序,该程序所做工作在显示部分。-OPENCV1.0 written procedures, using the background method, to achieve the detection of moving objects, thanks Shiqi Yu 2006, to provide a reference program that does work in the di
ReadVideo-detect-moving
- 在vc6.0环境下,读取彩色一段视频,并检测运动物体。-In vc6.0 environment, read a color video, and detect moving objects
move-track
- 使用OpenCV 来寻找轮廓实现视频流的运动目标检测 能检测一段视频或网络摄像头实时读入视频中的运动物体-Achieved using OpenCV to find the outline of the video stream to detect a moving target detection webcam real-time video or read the moving objects in video
target-detection-and-tracking
- 论文针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪,利用OPENCV的运动物体跟踪的数据结构、函数和基本框架,建立一个由人机交互界面模块,运动物体的前景检测模块,运动物体的团块特征检测模块等,最后使用建立的系统进行了实验,结果表明系统能正确的进行运动物体的实时检测和跟踪,并具有良好的鲁棒性。-OpenCV-based moving target detection and tracking of some of the articles I read, I feel you c