Structured Feature Learning for Pose Estimation

03/30/2016
by   Xiao Chu, et al.
0

In this paper, we propose a structured feature learning framework to reason the correlations among body joints at the feature level in human pose estimation. Different from existing approaches of modelling structures on score maps or predicted labels, feature maps preserve substantially richer descriptions of body joints. The relationships between feature maps of joints are captured with the introduced geometrical transform kernels, which can be easily implemented with a convolution layer. Features and their relationships are jointly learned in an end-to-end learning system. A bi-directional tree structured model is proposed, so that the feature channels at a body joint can well receive information from other joints. The proposed framework improves feature learning substantially. With very simple post processing, it reaches the best mean PCP on the LSP and FLIC datasets. Compared with the baseline of learning features at each joint separately with ConvNet, the mean PCP has been improved by 18

READ FULL TEXT

page 3

page 4

page 6

page 8

research
01/15/2019

Feature Boosting Network For 3D Pose Estimation

In this paper, a feature boosting network is proposed for estimating 3D ...
research
07/22/2021

Adaptive Dilated Convolution For Human Pose Estimation

Most existing human pose estimation (HPE) methods exploit multi-scale in...
research
03/27/2023

Global Relation Modeling and Refinement for Bottom-Up Human Pose Estimation

In this paper, we concern on the bottom-up paradigm in multi-person pose...
research
11/02/2016

CRF-CNN: Modeling Structured Information in Human Pose Estimation

Deep convolutional neural networks (CNN) have achieved great success. On...
research
10/25/2019

TRB: A Novel Triplet Representation for Understanding 2D Human Body

Human pose and shape are two important components of 2D human body. Howe...
research
04/19/2014

Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification

In this paper, we utilize structured learning to simultaneously address ...
research
01/06/2019

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

We address the vessel segmentation problem by building upon the multisca...

Please sign up or login with your details

Forgot password? Click here to reset