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Re-enacting football matches in VR using virtual agents' realistic behaviours.

Xu, W., Alarab, I, Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C., 2022. Re-enacting football matches in VR using virtual agents' realistic behaviours. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 12-14 December 2022, Virtual.

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IEEE_AIVR_2022_BAB.pdf - Published Version


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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.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:37942
Deposited By: Symplectic RT2
Deposited On:23 Dec 2022 11:53
Last Modified:23 Dec 2022 11:53


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