Human Pose Estimation Based on Deep Neural Network

被引：0
|
作者：
Zhu, Lingfei [1 ]
Wan, Wanggen [1 ]
机构：
[1] Shanghai Univ, Sch Commun & Informat Engn, Inst Smart City, Shanghai, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP) | 2018年
关键词：
hourglass; multi-scale; residual network; activation function; train model;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper aimed to single pose estimation of two-dimensional image based on the deep neural network. We constructed a Stacked Hourglass network structure on the training data set, regress the precise pixel location of human body joint point through heat map with different activation function is analyzed and compared, which had certain reference value to the improvement on the final performance. At the same time, this paper analyzes the theory and application of multi-scale and analyzes the structure and advantages of network.
引用
收藏
页码：90 / 96
页数：7
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