P
Philip Kelly
Researcher at Dublin City University
Publications - 46
Citations - 882
Philip Kelly is an academic researcher from Dublin City University. The author has contributed to research in topics: Pedestrian detection & Dance. The author has an hindex of 15, co-authored 45 publications receiving 833 citations.
Papers
More filters
Proceedings ArticleDOI
Evaluating a dancer's performance using kinect-based skeleton tracking
Dimitrios S. Alexiadis,Philip Kelly,Petros Daras,Noel E. O'Connor,Tamy Boubekeur,Maher Ben Moussa +5 more
TL;DR: A novel system that automatically evaluates dance performances against a gold-standard performance and provides visual feedback to the performer in a 3D virtual environment and is proposed for temporally aligning dance movements from two different users and quantitatively evaluating one performance against another.
Proceedings ArticleDOI
The trecvid 2007 BBC rushes summarization evaluation pilot
TL;DR: An overview of a pilot evaluation of video summaries using rushes from several BBC dramatic series indicates that while it is difficult to exceed the performance of baselines, a few systems did.
Journal ArticleDOI
Analysis of the 5 iron golf swing when hitting for maximum distance.
Aoife Healy,Kieran Moran,Jane Dickson,Cillian Hurley,Alan F. Smeaton,Noel E. O'Connor,Philip Kelly,Mads Haahr,Nachiappan Chockalingam +8 more
TL;DR: Significant differences were evident between the two groups for club face impact point and a number of joint angles and angular velocities, with greater shoulder flexion and less left shoulder internal rotation in the backswing appearing to contribute to greater hitting distance with the 5 iron club.
Proceedings ArticleDOI
TennisSense: A platform for extracting semantic information from multi-camera tennis data
TL;DR: TennisSense, a technology platform for the digital capture, analysis and retrieval of tennis training and matches, is introduced and the algorithms for extracting useful metadata from the overhead court camera are described and evaluated.
Proceedings ArticleDOI
A virtual coaching environment for improving golf swing technique
TL;DR: This work has developed a set of visualisation and analysis tools for use in a virtual golf coaching environment and highlights the potential of the coaching tool in its use by sports science researchers in the evaluation of competing approaches for calculating the X-Factor.