Precise human pose estimation based on two-dimensional images for kinematic analysis

Sara Rojas Martínez; Diana Sofia Herrera; Pablo Arbeláez

doi:10.1117/12.2542539

3 January 2020 Precise human pose estimation based on two-dimensional images for kinematic analysis

Sara Rojas Martínez, Diana Sofia Herrera, Pablo Arbeláez

Proceedings Volume 11330, 15th International Symposium on Medical Information Processing and Analysis; 113300F (2020) https://doi.org/10.1117/12.2542539
Event: 15th International Symposium on Medical Information Processing and Analysis, 2019, Medelin, Colombia

Abstract

Human Pose Estimation (HPE) is a Computer Vision problem that has become increasingly popular over the last few years, with multiple applications in the medical field such as therapy using virtual and augmented reality, robot caregivers, virtual physical therapy and kinematic analysis. Nevertheless, all the machine learning algorithms developed for these applications are trained in small datasets with images captured in constrained scenarios and with information given by sensors, bounding the applicability of these methods. We developed a simple yet useful deep learning algorithm for Human Pose Estimation that uses as input only an image of a scene with people. The estimated position of the joints and body parts can be used to retrieve basic kinematic information from the people on the image that can be applied to the aforementioned medical applications. We focus on overcoming the limit of Human Pose Estimation algorithms due to jittering, aiming to preserve more precise pixel location. Thus, we explore different novel approaches to improve the precision of the existing state- of-the-art algorithms in keypoint estimation and evaluate them on COCO keypoint dataset, outperforming the current top methods. We hope our algorithm encourages the academic community to develop simpler but precise HPE algorithms for medical applications based on RGB images.

Citation Download Citation

Sara Rojas Martínez, Diana Sofia Herrera, and Pablo Arbeláez "Precise human pose estimation based on two-dimensional images for kinematic analysis", Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 113300F (3 January 2020); https://doi.org/10.1117/12.2542539

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Algorithm development

Convolution

Image processing

Kinematics

Network architectures

Error analysis

Electroluminescent displays

Show All Keywords

Keywords/Phrases

Search In:

Publication Years