no code implementations • 3 Feb 2022 • Joachim Gudmundsson, Martin P. Seybold, John Pfeifer
Recent advances in tracking sensors and pose estimation software enable smart systems to use trajectories of skeleton joint locations for supervised learning.
no code implementations • 11 Feb 2021 • Joachim Gudmundsson, André van Renssen, Zeinab Saeidi, Sampson Wong
For some applications, it is desirable to match the curves under translation before computing the Fr\'echet distance between them.
Computational Geometry
no code implementations • 28 May 2020 • Joachim Gudmundsson, Michael Horton, John Pfeifer, Martin P. Seybold
We present a scalable approach for range and $k$ nearest neighbor queries under computationally expensive metrics, like the continuous Fr\'echet distance on trajectory data.
no code implementations • 27 Mar 2017 • Younjin Chung, Joachim Gudmundsson, Masahiro Takatsuka
In order to analyze the change, it is important to measure the difference of the patterns.
no code implementations • 22 Feb 2016 • Joachim Gudmundsson, Michael Horton
Team-based invasion sports such as football, basketball and hockey are similar in the sense that the players are able to move freely around the playing area; and that player and team performance cannot be fully analysed without considering the movements and interactions of all players as a group.
Other Computer Science A.1; H.2.8
no code implementations • 18 Jul 2014 • Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan
Experimental results show that we are able to produce a classifier with 85. 8% accuracy on classifying passes as Good, OK or Bad, and that the predictor variables computed using complex methods from computational geometry are of moderate importance to the learned classifiers.
no code implementations • 11 Jul 2014 • Haris Aziz, Serge Gaspers, Joachim Gudmundsson, Simon Mackenzie, Nicholas Mattei, Toby Walsh
We study computational aspects of three prominent voting rules that use approval ballots to elect multiple winners.