基于实时视频的笔画信息提取技术

Extraction Technology of Stroke Information from Real-time Video

描述了一种基于实时视频的笔画信息提取方法,采用视频输入设备捕捉用户手指的运动轨迹,并对此进行实时处理、简化和分析,根据手指的轨迹特征以及笔画的特点从中滤除无用的信息的方法,提取出笔画。通过笔画信息识别定义手势控制,可实现简单的人机交互。

This paper discusses an on-line approach of extracting stroke information from real-time video. By capture and analysis the trace of a human finger, it strains except the useless information and draws stroke information according to the sport orbit of the finger and characteristic of the stroke. A new human-computer interface is established with definition of sign and the extraction results.