%0 Journal Article
%T HAND GESTURE SEGMENTATION AND RECOGNITION WITH COMPLEX BACKGROUNDS<br>复杂背景下的手势分割与识别
%A REN Hai-Bing
%A ZHU Yuan-Xin
%A XU Guang-You
%A ZHANG Xiao-Ping
%A LIN Xue-Yin
%A <br>任海兵
%A 祝远新
%A 徐光祐
%A 张晓平
%A 林学誾
%J 自动化学报
%D 2002
%I 
%X Currently, in the vision based hand gesture recognition, almost all the technologies on hand gesture segmentation are based on simple backgrounds or on gloves in special colors, which give the human computer interaction some limitation. This paper presents a new method, which segments hand gestures with complex backgrounds by fusing skin chrominance and coarse image motion, and by using the seed algorithm twice. With the segmented hand areas, the algorithm for motion appearance parameters is accelerated greatly. By integrating temporal information, motion and shape appearances, a spatio temporal appearance model is proposed for representing dynamic hand gestures. This paper also presents an independent distributed multi state Gaussian probability model(IDMGPM) for recognition. In this system the average recognition rate is 97 8% on the training set and 95 6% on the testing set.
%K Complex background
%K hand gesture segmentation
%K hand gesture recognition
%K independent distributed
%K multi
%K state Gaussian probability model<br>复杂背景
%K 手势分割
%K 手势识别
%K 计算机视觉
%K 多状态高斯概率模型
%K 人机交互
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=0054F7FDB053232A&yid=C3ACC247184A22C1&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=80BD0A2EF8664214&eid=4D7D059FFBF006B9&journal_id=0254-4156&journal_name=自动化学报&referenced_num=8&reference_num=5