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An Approach Towards Artistic Visualizations of Human Motion in Static Media Inspired by the Visual Arts 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. Cite as: A. Rigaki, N. Partarakis, X. Zabulis, C. Stephanidis, "An Approach Towards Artistic Visualizations of Human Motion in Static Media Inspired by the Visual Arts", ACHI 2020, International Conference on Advances in Computer-Human Interactions, Valencia, Spain, 22-26, March 2020. DOI:10.5281/zenodo.4409665
A. Rigaki, N. Partarakis, X. Zabulis, C. Stephanidis, "An Approach Towards Artistic Visualizations of Human Motion in Static Media Inspired by the Visual Arts", ACHI 2020, International Conference on Advances in Computer-Human Interactions, Valencia, Spain, 22-26, March 2020.
Artistic Visualization, Image processing, Motion visualization, Computer Vision, Motion capture
Artistic Visualization, Image processing, Motion visualization, Computer Vision, Motion capture
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