基于关键帧和姿态描述语言的实时手势识别方案

Real-time Gesture Recognition Scheme Key Frame and Posture Description Language

针对现有人体动作识别方法的准确性和实时性不强等问题,提出一种基于关键帧和姿态描述语言(PDL)的实时手势识别方案.首先,利用Kinect摄像机获取手势视频帧,并通过NITE工具获得骨架关节点的三维坐标.然后,从视频序列中找出最能代表手势类型的关键帧.最后,提出一种姿态描述语言,根据关键帧中关节点的位置和角度信息,通过一系列规则对手势进行识别.实验结果表明,该方法具有较高的识别率和良好的实时性.

For the issue that the existing human motion recognition methods are poor in accuracy and realtime performance,a real time gesture recognition scheme based on key frame and posture description language（PDL）is proposed.Firstly,Kinect camera is used to obtain the gesture video frame,and the 3Dcoordinates of the frame joint point are obtained by the NITE tool.Then,the representative keyframes for gesture type are found out from the video sequence.Finally,a kind of posture description language is proposed,which uses a series rules to recognize gesture according the position and angle of the joint points in the key frame.Experimental results show that the proposed method has higher recognition rate and good real-time performance.