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Research on Multi-Person Pose Estimation Technology Cover
By: Hongyan Wang and  Changyuan Wang  
Open Access
|Mar 2024

Figures & Tables

Figure 1.

Components of lightweight human pose estimation
Components of lightweight human pose estimation

Figure 2.

COCO (left) and OpenPose (right) coding diagrams
COCO (left) and OpenPose (right) coding diagrams

Figure 3.

The process of image inspection
The process of image inspection

Figure 4.

Open Pose′s network structure diagram
Open Pose′s network structure diagram

Figure 5.

Diagram of the forecast internal structure
Diagram of the forecast internal structure

Figure 6.

Merge branching diagram
Merge branching diagram

Figure 7.

Improved convolution kernel structure
Improved convolution kernel structure

Figure 8.

OpenPose model key point confidence distribution chart
OpenPose model key point confidence distribution chart

Figure 9.

Lightweight OpenPose model key point confidence distribution chart
Lightweight OpenPose model key point confidence distribution chart

Figure 10.

Multi-person pose recognition results
Multi-person pose recognition results

Comparison of Average Confidence

Average confidence of person i123
OpenPose method0.5720.4730.473
Lightweight OpenPose method0.6250.7180.779

Improving OpenPose network evaluation results

ModelAP, %
OpenPose48.6
Optimization86.3

Comparison before and after network structure improvement

TypeFPS
OpenPose0.035
Lightweight OpenPose20.889

Lightweight backbone performance comparison

AP, %
MobileNet v1 (cut to conv4_1)37.9
Dilated MobileNet v1 (cut to conv5_5)42.8
Dilated MobileNet v1 (cut to conv5_6)43.2
Dilated MobileNet v2 (cut to conv6_3)39.6
Language: English
Page range: 38 - 44
Published on: Mar 16, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Hongyan Wang, Changyuan Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.