openCV

Moving objects detection based on OpenCV and Gaussian mixture model

基于OpenCV与混合高斯建模的运动目标检测

Among them, keying fusion Filter is achieved by using background difference keying algorithm and the OpenCV library; network video-audio sender and receiver Filter is achieved by using WinSock technology.

其中，抠像融合Filter采用了背景差分抠像算法和OpenCV库进行实现：网络视音频发送和接收Filter采用了WinSock技术进行实现。

Accomplish the visual servoing task: Using development tools such as VC and OpenCV of Intel etc to accomplish the software system by study and experiment to make the spraying robot realize the position and orientation by vision information.

设计完成视觉伺服任务：通过研究实验，使用VC、Intel的OpenCV等开发工具完成软件系统，实现施釉机器人利用视觉信息进行定位。