计算机工程与应用Issue(14)：30-33,4.DOI:10.3778/j.issn.1002-8331.1302-0153
一种基于图结构模型的人体姿态估计算法
Human pose estimation algorithm based on pictorial structure model.
摘要
Abstract
Aiming at the problem of estimating human pose in single image, an efficient algorithm for estimating human pose is proposed, which is based on pictorial structure model. In this paper, a new part appearance model and a new approach for reduc-ing state space are proposed:(1)HOG feature is computed by using cells with different sizes for different parts of the body and linear SVM is used to classify, then a new part appearance model is proposed;(2)location region of parts is determined accord-ing to location prior, and then state space is reduced further through merging neighborhood and setting matching degree thresh-old, thus a new approach for reducing state space is proposed. Compared with additional human pose estimation algorithms, the simulation results show that the algorithm is more efficient.关键词
人体姿态估计/图结构模型/方向梯度直方图(HOG)特征/状态空间Key words
human pose estimation/pictorial structure model/Histogram of Oriented Gradient(HOG)feature/state space分类
信息技术与安全科学引用本文复制引用
韩贵金,朱虹..一种基于图结构模型的人体姿态估计算法[J].计算机工程与应用,2013,(14):30-33,4.基金项目
国际合作项目子项项目（No.2011DRF10480）；陕西省教育厅自然科学项目（No.11JK0993）。 （）
