%0 Journal Article
%T An Approach to Tracking Deformable Hand Gesture for Real-Time Interaction<br>一种面向实时交互的变形手势跟踪方法
%A WANG Xi-Ying
%A ZHANG Xi-Wen
%A DAI Guo-Zhong
%A <br>王西颖
%A 张习文
%A 戴国忠
%J 软件学报
%D 2007
%I 
%X The tracking of deformable hand gesture is a very important task in vision-based HCI (human-computer interaction) research. A novel real-time tracking approach is proposed to capture the motion of deformable hand gesture with single camera. The proposed approach uses a set of 2D hand models in place of high-dimensional 3D model. It achieves auto-initialization by firstly using Bayesian classifier to do posture recognition,and then locating fingers and fingertips to fit image features to recognized posture. It solves the problem of interference among fingers during tracking successfully by the integration of K-means clustering and particle filter. Moreover,a state checking process is embedded into tracking method,and it realizes resumption from tracking failure and update of hand models automatically. Experimental results show that the proposed method can achieve continuous real-time tracking of deformable hand gesture with high precision,and thus it can meet the requirements from real-time vision-based human-computer interaction.
%K hand tracking
%K multifinger tracking
%K particle filter
%K auto-initialization
%K state checking<br>手势跟踪
%K 多手指跟踪
%K 粒子滤波
%K 自动初始化
%K 状态检验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=FEE832D3D390BF9D4B2C934FD7BDE281&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=F3090AE9B60B7ED1&sid=A7F46BD9C8F65241&eid=A7071151A963A1BF&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=39