查询结果:   崔家礼,解威,王一丁,贾瑞明.基于自适应手指分割与判别的静态手势识别[J].计算机应用与软件,2016,33(10):181 - 186.
中文标题
基于自适应手指分割与判别的静态手势识别
发表栏目
人工智能与识别
摘要点击数
664
英文标题
STATIC GESTURE RECOGNITION BASED ON ADAPTIVE SEGMENTATION AND DISCRIMINATION OF FINGERS
作 者
崔家礼 解威 王一丁 贾瑞明 Cui Jiali Xie Wei Wang Yiding Jia Ruiming
作者单位
北方工业大学电子信息工程学院 北京 100144     
英文单位
College of Information Engineering,North China University of Technology,Beijing 100144,China     
关键词
手势识别 手指重建 手指判别 手指分割 形状特征
Keywords
Gesture recognition Finger restoration Finger discrimination Finger segmentation Shape feature
基金项目
北京市教委面上项目(KM201510009005)
作者资料
崔家礼,讲师,主研领域:图像处理与智能识别。解威,硕士。王一丁,教授。贾瑞明,讲师。 [HJ1.85mm] 。
文章摘要
由于动态手势可以看作是多帧静态手势的融合,研究静态手势成为解决手势识别问题的重点。针对静态手势,提出一种自适应手指分割与判别的手势识别算法。首先,运用YCbCr颜色空间的肤色聚类特性对手势图像进行分割,并采用质心点漂移的理念确定手指方向并作旋转归一化处理;其次,针对手势轮廓点的梯度方向和跨度确定手指的候选区域,并结合形态学的方法重建出单一手指的二值化形态;最后,选取恰当的形状特征,运用SVM分类器对其形状特征进行分类。实验表明该方法具有较好的识别率。
Abstract
Since dynamic hand gestures can be regarded as the fusion of multi-frame static gestures,thus static gesture study becomes the key of solving gesture recognition problem.Aiming at static hand gestures,this paper puts forward a gesture recognition method which is based on adaptive segmentation and discrimination of fingers.First,the method segments hand gesture image using skin colour clustering feature of YCbCr colour space,and adopts the idea of centroid drift for finger direction determination and makes rotation normalisation processing.Secondly,it determines candidate area of fingers aimed at the gradient direction and span of gestures contour points,and restores in combination with morphological method the binary form of a single finger.Finally,it selects appropriate shape features and uses support vector machine (SVM) classifier to classify its shape features.Experimental results show that the method has promising recognition rate.
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