搜索资源列表
opencv_detect
- opencv中常用的检测和跟踪算法原理介绍,介绍了常用的前景检测与目标跟踪算法-opencv principle commonly used in the detection and tracking algorithm, the introduction of the common prospects for detection and target tracking algorithm
20140519
- 基于opencv的车道线检测，做过实际的例子，在高速公路上实现了预定的目标-Opencv-based lane detection
ImageProcess
- 此代码是通过OpenCV进行目标物体的轮廓检测，并计算出目标物体的长宽和面积等信息。-This code is detected through the OpenCV contour of the target object and the target object is calculated width and area information.
blobtrack
- opencv自带的跟踪框架程序，方便开发者开发出能够自动检测前景、目标跟踪的算法程序-Opencv own tracking framework application, convenient and developers to develop to be able to automatically detect prospects, the algorithm of target tracking application
opticalflowtracking
- 运动人体的检测，对采集的视频中运动目标的检测和跟踪，用到opencv相应的highgui库和cv库，能够很好检测出人体轮廓。-Human movement detection for video capture moving target detection and tracking, use the appropriate highgui opencv libraries and cv library, can well detect the body contour.
vcPP6.0
- 背景差分法，帧间差分法,可以有效基于视频序列检测出动态目标，实现有效检测-Inter frame difference and background difference moving target detection phase fusion under the opencv platform based on vc++6.0
TLD
- 本程序是在vs2010+opencv的平台上运行的，利用的是opencv2.4.9，C++写的，该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的“显著特征点”和检测模块的目标模型及相关参数，从而使得跟踪效果更加稳定、鲁棒、可靠。最后的得到的效果令人满意。-This program is run on a platform vs2010+opencv, the use
SIFT-HARRIS-Gaussian
- OPENCV实现sift目标识别匹配，harris，sift算子焦点检测与高斯法图像分割，vs2013-OPENCV achieve sift target identification match, harris, sift operator focus detection and image segmentation Gauss law, vs2013
ikldemo
- visualc++和opencv实现。点跟踪。改进的Lucas-Kanade光流算法，检测视频运动目标。鼠标点击目标点，视频跟踪。-Point tracking. Improved Lucas-Kanade optical flow algorithm, video motion detection target. Click on the target point, video tracking.
camshift_tracking
- 基于opencv的camshift方法，进行运动目标的检测，效果还不错-Opencv based meanshift method to detect moving targets, the results were good
xingren_hog
- 在opencv平台上基于hog特征的对图片上的行人检测，并标出目标区域-Based on OPENCV pedestrian hog feature in the image on the opencv detection platform, and mark the target area
vibe_alg
- 基于VIBE算法的目标跟踪算法，特点是速度较快，能够应用于各种实时检测的场景当中。使用opencv库，因此需要先配置opencv环境，再自建工程添加-VIBE algorithm based target tracking algorithm, is characterized by speed, it can be applied to a variety of real-time detection of the scenario. Using opencv library, so you
cheliangjiancePP
- 在mfc框架下，利用opencv实现帧间差分法识别动态目标，并将其利用交通道路的车辆实时检测-In mfc framework, use opencv achieve inter-frame difference method to identify dynamic objects, and the use of real-time detection vehicle road traffic
A-straight-line-test-of-the-target
- 利用opencv实现运动目标的速度检测，已经测试成功有一定利用价值的-Using opencv to achieve the speed test of the moving target, it has been tested successfully for a certain use of value
Ball-tracking-(target-tracking)
- 通过opencv实现目标跟踪检测，本案例的目标是小球，已经测试通过了-The objective of this case is the ball, which is passed through opencv
OpenCV_By_Example(中文版)
- 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示： 第1章 OpenCV的探险之旅; 第2章 OpenCV基础知识介绍; 第3章 图形用户界面和基本滤波; 第4章 深入研究直方图和滤波器; 第5章 自动光学检测、目标分割和检测; 第6章 学习目标分类; 第7章 识别人脸部分并覆盖面具; 第8章 视频监控、背景建模和形态学操作; 第9章 学习对象跟踪; 第10章 文本识别中的分割算法; 第11章 使用Tessera