TY - GEN
T1 - Using Motion Expressiveness and Human Pose Estimation for Collaborative Surveillance art
AU - Aksel Billeskov, Jonas
AU - Nordvig Møller, Tobias
AU - Triantafyllidis, Georgios
AU - Palamas, George
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - 3D visualization
KW - Data transformation
KW - Generative art
KW - Human pose estimation
KW - Motion expressiveness
KW - Surveillance data
UR - http://www.scopus.com/inward/record.url?scp=85061376670&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-06134-0_12
DO - 10.1007/978-3-030-06134-0_12
M3 - Article in proceeding
SN - 978-3-030-06133-3
T3 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
SP - 111
EP - 120
BT - Interactivity, Game Creation, Design, Learning, and Innovation:
A2 - Brooks, Anthony L.
A2 - Brooks, Eva
A2 - Sylla, Cristina
PB - Springer
CY - Braga, Portugal
T2 - 7th 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
Y2 - 24 October 2018 through 26 October 2018
ER -