摘要
着眼于更宽泛和更便捷的应用需要,提出了基于AdaBoost算法和光流匹配的实时手势识别方案.只需连接到计算机的摄像头读取二维手势视频片段就能对手势作为较为准确的识别.其中,采用AdaBoost算法遍历图像,完成静态手势的识别工作;在动态手势的识别过程中,运用了光流法结合模板匹配的方法.整个系统对静态和动态手势的识别均具有较强的鲁棒性.
Focusing on more general and more convenient application, a novel real-time gesture recognition method based on AdaBoost algorithm and optical flow matching was put forward. In detail, the AdaBoost algorithm was used to traverse the whole image for the recognition of static gestures. As to the dynamic gestures, the method combining optical flow with template matching was utilized. The whole system has strong robustness in the recognition of both static and dynamic gestures.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第4期138-141,共4页
Microelectronics & Computer
基金
中央高校基本科研业务费专项资金(ZYGX2009J024)
