### Human pose estimation based on human model using conditional prior

ZHAO Yong1，2, JU Yongfeng1

1. 1.School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China
2.School of Automation, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
• Online:2018-08-15 Published:2018-08-09

### 基于条件先验人体模型的人体姿态估计

1. 1.长安大学 电子与控制工程学院，西安 710064
2.西安邮电大学 自动化学院，西安 710121

Abstract: Human model is a mathematical description of the appearance and spatial correlation between the human parts or joints. Although some human models have taken into account the fact that the spatial locations of human parts or joints satisfy a certain prior distribution, the human model based on the same prior distribution is used to different images for human pose estimation, and does not take into account the location difference of different images. For overcoming this deficiency, a human model using conditional prior is proposed, an adaptive adjustment parameter is added to the human model. The size of the parameter is adjusted adaptively according to the size of the similarity between the potential location and the appearance model, thus when calculating the joint localization probability, the purpose of adjusting the prior distribution according to the picture to be processed is achieved. The human model based on conditional prior is used for human pose estimation, the simulation experiments show that the proposed human model can obtain higher estimation accuracy than the existing human model based on prior.