Home // ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Anastasia Rigaki
Nikolaos Partarakis
Xenophon Zabulis
Constantine Stephanidis
Keywords: Motion visualization, Artistic Visualization, Motion capture, Image processing, Computer Vision
Abstract:
The visualization of 3D human motion on a 2D canvas or display is employed by a wide spectrum of disciplines to abstract and provide insight on the motion of human subjects that is depicted by the 2D medium. Painters, illustrators and directors use motion lines, contrast, superimposition as well as juxtaposition of visual frames for a better conveyance of motion. The proliferation of digital cameras, motion sensors, combined with computer vision has enabled the 3D recording of human motion in a wide range of conditions. At the same time, applications of human motion visualization, such as illustrated safety or assembly instructions, still have a wide use in conventional depictions of human motion, namely 2D static depictions, whether these are presented on screen or on paper. Inspired by the depiction of human motion in the visual arts, we transfer pertinent visual approaches to the domain of human motion visualization. Our goal is to utilise these visualization techniques and create insightful visualizations of human motion recordings on static 2D media. To that end, we propose the MotiVo system that dynamically integrates multiple tools for the visualization of human motion. Based on these tools, we study basic approaches of human motion visualization and abstraction.
Pages: 264 to 270
Copyright: Copyright (c) IARIA, 2020
Publication date: March 22, 2020
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-761-0
Location: Valencia, Spain
Dates: from November 21, 2020 to November 25, 2020