关键词: 人体姿态估计, 人体模型, 条件先验, 自适应调节参数

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.

Key words: human pose estimation, human model, conditional prior, adaptive adjustment parameter