计算机工程2012，Vol.38Issue(2)：198-200,3.DOI:10.3969/j.issn.1000-3428.2012.02.065
人体行为动作的形状轮廓特征提取及识别
Shape Contour Feature Extraction and Recognition of Human Behavior Motion
摘要
Abstract
A method for respectively applying Fourier transform and edge wavelet moments descriptor to recognize human behavioral motion is proposed. In the process of contour feature extraction, contraposing not single line between ccntroid and contour of concave-convex complex images, a kind of directional distance contour description matrix with multi-lines is proposed. Some simulation experiments are done about two kinds of human bodies and four kinds of behavioral motion, experimental results show the edge wavelet moments descriptor has a good description and recognition rates to local feature of shape contour.关键词
行为识别/小波矩/特征提取/轮廓描述矩阵/快速傅里叶变换/形状轮廓Key words
behavior recognition/ wavelet moments/ feature extraction/ contour description matrix/ Fast Fourier Transform(FFT)/ shape contour分类
信息技术与安全科学引用本文复制引用
胡石,梅雪..人体行为动作的形状轮廓特征提取及识别[J].计算机工程,2012,38(2):198-200,3.基金项目
江苏省博士后科研计划基金资助项目(1001027B) （1001027B）
扛苏省高校自然科学研究基金资助项目(09KJB510002) （09KJB510002）
南京工业大学青年教师学术基金资助项目(39711M006) （39711M006）
