TWO-DIMENSIONAL IMAGE BASED HUMAN BODY JOINT POINT POSITIONING MODEL CONSTRUCTION METHOD, AND POSITIONING METHOD

• Main Authors: HUANG, Kaiqi, ZHANG, Junge, FU, Lianrui
• Format: Patent
• Language: Chinese; English; French
• Published: 05.04.2018
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

A two-dimensional image based human body joint point positioning model construction method, and a positioning method based on the construction method. The construction method comprises: using a color image with human body joint point position coordinates and obstruction states being marked, to construct a human body part local characteristic training sample set and a human body part global formation sample set (S100); constructing a deep convolutional neural network, and using the human body part local characteristic training sample set to train the deep convolutional neural network, to obtain a human body part local appearance model (S110); obtaining an obstruction relationship diagram model by using the human body part local appearance model and the human body part global formation sample set (S120); and determining the human body part local appearance model and the obstruction relationship diagram model as a two-dimensional image human body joint point positioning model (S130). The present method solves th