Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours
Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.
Journal: Proceedings - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022
Pages: 119-123
DOI: 10.1109/AIVR56993.2022.00024
Abstract:Football (or Soccer)1 matches are often analysed from 2D video footage that lacks any spatial details of the players on the pitch. On the other hand, the real-time positions of the players derived from recorded tracking data are not easily understandable without an immersive and effective visualisation of the players located on a pitch with the ability of the system to review actions over a timeline. To address some of these drawbacks, we propose a novel "Believable Agent Behaviour"(BAB) engine, based on virtual reality equipped with artificial intelligence for the generation of realistic virtual agent animations to enact the data-driven events from football matches. This system implements an immersive, interactive, believable, and automated end-to-end simulation to analyse and replay a football match using immersive 3D graphics.
https://eprints.bournemouth.ac.uk/37942/
Source: Scopus
Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours
Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.
Journal: 2022 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR)
Pages: 123-127
ISSN: 2771-7445
DOI: 10.1109/AIVR56993.2022.00024
https://eprints.bournemouth.ac.uk/37942/
Source: Web of Science (Lite)
Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours
Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.
Conference: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
Dates: 12-14 December 2022
Abstract:Football matches are often analysed from 2D video footage that lacks any spatial details of the players on the pitch. On the other hand, the real-time positions of the players derived from recorded tracking data are not easily understandable without an immersive and effective visualisation of the players located on a pitch with the ability of the system to review actions over a timeline. To address some of these drawbacks, we propose a novel “Believable Agent Behaviour” (BAB) engine, based on virtual reality equipped with artificial intelligence for the generation of realistic virtual agent animations to enact the data-driven events from football matches. This system implements an immersive, interactive, believable, and automated end-to-end simulation to analyse and replay a football match using immersive 3D graphics.
https://eprints.bournemouth.ac.uk/37942/
Source: Manual
Re-enacting football matches in VR using virtual agents' realistic behaviours
Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.
Conference: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
Abstract:Football matches are often analysed from 2D video footage that lacks any spatial details of the players on the pitch. On the other hand, the real-time positions of the players derived from recorded tracking data are not easily understandable without an immersive and effective visualisation of the players located on a pitch with the ability of the system to review actions over a timeline. To address some of these drawbacks, we propose a novel “Believable Agent Behaviour” (BAB) engine, based on virtual reality equipped with artificial intelligence for the generation of realistic virtual agent animations to enact the data-driven events from football matches. This system implements an immersive, interactive, believable, and automated end-to-end simulation to analyse and replay a football match using immersive 3D graphics.
https://eprints.bournemouth.ac.uk/37942/
Source: BURO EPrints