车辆检测 OpenCV

SDK及opencv环境配置好可直接运行，含有注释方便学习，采用多线程读取图像

基于视频的跟踪，结合卡尔曼和camshift的目标跟踪。由鼠标选中目标区域（包含了鼠标选中程序），kalman和camshift预测质心，从而达到目标跟踪。(Based opencv, combined with the target tracking Kalman and camshift. By the mouse to select the target area, kalman and centroid camshift forecast to achieve target tracking.)

这是一个源代码如何使用 c + + 代码和 opencv 的车辆速度计算。

this file is based on open cv programm that how to add text in a image

optical flow 视频跟踪程序 基于opencv(OpticalFlow video tracing based on opencv )

C# SDK for Face++ 人脸检测与分析 检测给定图片(Image)中的所有人脸(Face)的位置和相应的面部属性 检测模式可以是normal(默认) 或者 oneface 。在oneface模式中，检测器仅找出图片中最大的一张脸。 可以是none或者由逗号分割的属性列表。默认为gender, age, race, smiling。目前支持的属性包括：gender, age, race, smiling, 可以为图片中检测出的每一张Face指定一个不包含非法字符且不超过255字节的字符串作为tag，tag信息可以通过 /info/get_face 查询 检测给定人脸(Face)相应的面部轮廓，五官等关键点的位置，包括25点和83点两种模式。(Face Detection and Analysis Detecting the location and corresponding facial attributes of all faces in a given image The detection mode can be normal (default) or oneface. In oneface mode, the detector finds only the largest face in the picture. It can be none or a comma-separated list of attributes. The default is gender, age, race, smiling. Attributes currently supported include gender, age, race, smiling. Each Face detected in a picture can be tagged with a string that does not contain illegal characters and does not exceed 255 bytes. The tag information can be queried by / Info / get_face. The location of key points such as facial contour and facial features for a given face (Face) is detected, including 25 points and 83 points.)

120张bmp位图转为一个h264的流，无需要额外配置，ffmpeg和opencv均已经配置好，vs2008下直接就可以运行

vs2010+opencv2.4.4实现二值图像中查找最大轮廓，对减少噪声具有很大效果，找到最大区域后用矩形框圈起来

Laganiere - OpenCV 2. Computer Vision Application Programming Cookbook

调用OpenCV 库，对jpeg、png等格式图片进行灰度矩阵复杂度计算。