Side View Pose Estimation Of Human From Images Using Prior Knowledge

摘要：

A new framework is proposed to estimate the side view pose of human from still images. The framework applies pose prior knowledge into the pose estimation process of pictorial structure and get a good performance. This paper has three main research contributions: 1.Proposing a new silhouette extraction method based on color clustering analysis and foreground highlighing; 2.Proposing a hierarchical pose classification method to solve the pose-duality problem and a learning method for pose prior knowledge from training set ; 3. Proposing the pose prior knowledge restricted image parsing process to make up the image information loss due to the inter-occluded between body parts and improve the estimated performace. Experiment results on estimating the human walking pose prove that the framework can evidently reduce the interference from background clutter and is able to estimate the reliable side view pose of human from still images.

关键词： hierarchical poss classifciation side view pose estimation color clustering pose prior knowledge

作者: Cong Chen Huaqing Ming Ronghua Luo

作者单位: School of computer Science & Engineering South China University of Technology Guang Zhou,P.R.China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1473-1477

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）