%0 Journal Article %T Appearance-Based Dynamic Hand Gesture Recognition from Image Sequences with Complex Background
基于表观的动态孤立手势识别 %A ZHU Yuan-xin %A XU Guang-you %A HUANG Yu %A
祝远新 %A 徐光祐 %A 黄浴 %J 软件学报 %D 2000 %I %X In this paper, the authors present an appearance-based approach to dynamic hand gesture recognition. A motion-based segmentation scheme for image motion estimation is proposed using variable-order parameterized models of image motion and robust regression. Based on image motion parameters, two different appearance change models of hand gestures are created. Template-Based classification technique is then employed to perform hand gesture recognition in which reference templates are created with a mini-max type of optimization. A series of experiments on 120 image sequences show that high recognition rate, low computation load, and high stability can be achieved with the proposed methods. %K Computer vision %K human computer interface %K hand gesture recognition %K image motion model %K robust regression %K dynamic programming matching
计算机视觉 %K 人机接口 %K 手势识别 %K 图像运动模型 %K 鲁棒回归 %K 动态规划匹配. %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=0A0EB204C03B205F&yid=9806D0D4EAA9BED3&vid=708DD6B15D2464E8&iid=CA4FD0336C81A37A&sid=318E4CC20AED4940&eid=1D0FA33DA02ABACD&journal_id=1000-9825&journal_name=软件学报&referenced_num=9&reference_num=12