Using Motion Expressiveness and Human Pose Estimation for Collaborative Surveillance art

Jonas Aksel Billeskov, Tobias Nordvig Møller, Georgios Triantafyllidis, George Palamas

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)

Abstract

Surveillance art is a contemporary art practice that deals with the notion of human expressiveness in public spaces and how monitoring data can be transformed into more poetic forms, unleashing their creative potential. Surveillance, in a sociopolitical context, is a participatory activity that has changed radically in recent years and could be argued to produce, not only social control but also to contribute to the formation of a collective image of feelings and affects expressed in modern societies. The paper explores a multidisciplinary approach based on tracking human motion from surveillance cameras on New York Time Square. The performed human trajectories were tracked with a real-time machine vision framework and the outcomes were used to feed a generative design algorithm in order to transform the data into emotionally expressive 3D visualizations. Finally, a study was conducted to assess the expressive power of this approach so as to better understand the relationships among perceived affective qualities and human behaviors.

Original languageEnglish
Title of host publicationInteractivity, Game Creation, Design, Learning, and Innovation: : 7th EAI International Conference, ArtsIT 2018, and 3rd EAI International Conference, DLI 2018, ICTCC 2018, Braga, Portugal, October 24–26, 2018, Proceedings
EditorsAnthony L. Brooks, Eva Brooks, Cristina Sylla
Number of pages10
Place of PublicationBraga, Portugal
PublisherSpringer
Publication date2019
Pages111-120
ISBN (Print)978-3-030-06133-3
ISBN (Electronic)978-3-030-06134-0
DOIs
Publication statusPublished - 2019
Event7th EAI International Conference on Arts and Technology, Interactivity, and Game Creation, ArtsIT 2018 and 3rd EAI International Conference on Design, Learning and Innovation, DLI 2018 - Braga, Portugal
Duration: 24 Oct 201826 Oct 2018

Conference

Conference7th EAI International Conference on Arts and Technology, Interactivity, and Game Creation, ArtsIT 2018 and 3rd EAI International Conference on Design, Learning and Innovation, DLI 2018
CountryPortugal
CityBraga
Period24/10/201826/10/2018
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume265
ISSN1867-8211

Keywords

  • 3D visualization
  • Data transformation
  • Generative art
  • Human pose estimation
  • Motion expressiveness
  • Surveillance data

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  • Cite this

    Aksel Billeskov, J., Nordvig Møller, T., Triantafyllidis, G., & Palamas, G. (2019). Using Motion Expressiveness and Human Pose Estimation for Collaborative Surveillance art. In A. L. Brooks, E. Brooks, & C. Sylla (Eds.), Interactivity, Game Creation, Design, Learning, and Innovation: 7th EAI International Conference, ArtsIT 2018, and 3rd EAI International Conference, DLI 2018, ICTCC 2018, Braga, Portugal, October 24–26, 2018, Proceedings (pp. 111-120). Springer. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol.. 265 https://doi.org/10.1007/978-3-030-06134-0_12