selected publications
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academic article
- Nibali AHe ZMorgan SPrendergast L. 3D Human Pose Estimation with 2D Marginal Heatmaps.. CoRR. abs/1806.01484:1-9. 2018
- Nibali AHe ZMorgan SPrendergast L. Numerical Coordinate Regression with Convolutional Neural Networks.. CoRR. abs/1801.07372. 2018
- Hobbs WMorgan SGorman ADMooney MFreeston J. Playing unpredictably: measuring the entropy of ball trajectories in international women’s basketball. International Journal of Performance Analysis in Sport. 18:115-126. 2018
- Sweeting AJAughey RJCormack SJMorgan S. Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data. Journal of Sports Sciences. 35:2439-2445. 2017
- Kasiri SFookes CSridharan SMorgan S. Fine-grained action recognition of boxing punches from depth imagery. Computer Vision and Image Understanding. 159:143-153. 2017
- Spencer BRobertson SMorgan S. Modelling within-team relative phase couplings using position derivatives in Australian rules football. Mathematical and Computer Modeling of Dynamical Systems. 23:372-383. 2017
- Mara JKThompson KGPumpa KLMorgan S. Quantifying the high-speed running and sprinting profiles of elite female soccer players during competitive matches using an Optical Player Tracking System. Journal of Strength and Conditioning Research. 31:1500-1508. 2017
- Fluke CJParrington LHegarty SMacMahon CMorgan SHassan AHKilborn VA. Sports stars: analyzing the performance of astronomers at visualization-based discovery. Publications of the Astronomical Society of the Pacific. 129:1-14. 2017
- Mara JKThompson KGPumpa KLMorgan S. The acceleration and deceleration profiles of elite female soccer players during competitive matches. Journal of Science and Medicine in Sport. 20:867-872. 2017
- Mara JMorgan SPumpa KThompson K. The accuracy and reliability of a new optical player tracking system for measuring displacement of soccer players. International Journal of Computer Science in Sport. 16:175-184. 2017
- Sweeting AJCormack SJMorgan SAughey RJ. When is a sprint a sprint? A review of the analysis of team-sport athlete activity profile. Frontiers in Physiology. 8:1-12. 2017
- Wei XLucey PMorgan SSridharan S. Forecasting the Next Shot Location in Tennis using Fine-Grained Spatiotemporal Tracking Data. IEEE Transactions on Knowledge and Data Engineering. 28:2988-2997. 2016
- Reid MMorgan SWhiteside D. Matchplay characteristics of Grand Slam tennis: implications for training and conditioning. Journal of Sports Sciences. 34:1791-1798. 2016
- Bane MKReid MMorgan S. Has player development in men’s tennis really changed? An historical rankings perspective. Journal of Sports Sciences. 32:1477-1484. 2014
- Reid MMorgan SChurchill TBane MK. Rankings in professional men’s tennis: a rich but underutilized source of information. Journal of Sports Sciences. 32:986-992. 2014
- Morgan SWilliams MDBarnes C. Applying decision tree induction for identification of important attributes in one-versus-one player interactions: A hockey exemplar. Journal of Sports Sciences. 31:1031-1037. 2013
- Morgan SWilliams MDBarnes C. Applying decision tree induction for identification of important attributes in one-versus-one player interactions: A hockey exemplar. Journal of Sports Sciences. 1-7. 2013
- Doerr BHansen NShapiro JLWhitley LDLemmink KAPMMorgan SSampaio JSaupe DGehrke MPin J-Eothers. Computer Science in High Performance Sport – Applications and Implications for Professional Coaching. Dagstuhl Reports. 3:29-53. 2013
- Adams DMorgans RSacramento JMorgan SWilliams MD. Successful short passing frequency of defenders differentiates between top and bottom four English Premier League teams. International Journal of Performance Analysis in Sport. 13:653-668. 2013
- Stöckl MMorgan S. Visualization and analysis of spatial characteristics of attacks in field hockey. International Journal of Performance Analysis in Sport. 13:160-178. 2013
- Jennings MJBlanchonette ILucas SRMorgan SWHelmer RJNYang C. Instrumentation of a field hockey stick to detect stick and ball interaction during a drag flick. Procedia Engineering. 2:2979-2984. 2010
- Morgan SPatterson J. Differences in oculomotor behaviour between elite athletes from visually and non-visually oriented sports. International Journal of Sport Psychology. 40:489-505. 2009
- Williams MMorgan S. Horizontal positioning error derived from stationary GPS units: A function of time and proximity to building infrastructure. International Journal of Performance Analysis in Sport. 9:275-280. 2009
- Rendell MMorgan SW. Skill and role-specific differences in eye movement behaviour between goal keepers and field players in field hockey‥. International Journal of Performance Analysis in Sport. 5:163-167. 2005
- Sweeting123 AJMorgan SCormack SAughey RJ. A MOVEMENT SEQUENCING ANALYSIS OF TEAM-SPORT ATHLETE MATCH ACTIVITY PROFILE
- Morgan S. A Method of Testing Decision Making Skills in Football Players
- Hunt JSanders NMorgan S. Tracking player movement in wheelchair rugby: Towards spatial analysis
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conference paper
- Zeng RLakemond RDenman SSridharan SFookes CMorgan S. Calibrating cameras in poor-conditioned pitch-based sports games. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 1902-1906. 2018
- Victor BHe ZMorgan SMiniutti D. Continuous video to simple signals for swimming stroke detection with convolutional neural networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 122-131. 2017
- Nibali AHe ZMorgan SGreenwood D. Extraction and classification of diving clips from continuous video footage. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 94-104. 2017
- Spencer BMorgan SZeleznikow JROBERTSON S. Clustering team profiles in the Australian Football League using performance indicators. Proceedings of the 13th Australasian Conference on Mathematics and Computers in Sport. 27-32. 2016
- Morgan SROBERTSON S. How data analytics can help you better understand sports. Research to Practice 2016: Conference Proceedings. 2016
- Behendi SKMorgan SFookes CB. Non-Invasive Performance Measurement in Combat Sports. Advances in Soft Computing. 3-10. 2016
- Zeng RLakemond RDenman SSridharan SFookes CMorgan S. Vertical Axis Detection for Sport Video Analytics. Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on. 2016
- Wei XLucey PMorgan SReid MSridharan S. “The Thin Edge of the Wedge”: Accurately Predicting Shot Outcomes in Tennis using Style and Context Priors. MIT Sloan Sports Analytics Conference. 1-11. 2016
- Kasiri-Bidhendi SFookes CMorgan SMartin DTSridharan S. Combat sports analytics: Boxing punch classification using overhead depthimagery. Proceedings - International Conference on Image Processing, ICIP. 4545-4549. 2015
- Wei XLucey PVidas SMorgan SSridharan S. Forecasting Events using an Augmented Hidden Conditional Random Field. Lecture Notes in Computer Science. 569-582. 2015
- Wei XLucey PMorgan SCarr PReid MSridharan S. Predicting serves in tennis using style priors. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2207-2215. 2015
- Wei XSridharan SLucey PNavarathna RMorgan S. Analyzing and Predicting Events in Soccer and Tennis using Spatiotemporal Data. KDD Workshop on Large-Scale Sports Analytics. 2014
- Sha LLucey PSridharan SMorgan SPease D. Understanding and analyzing a large collection of archived swimming videos. Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on. 674-681. 2014
- Lemmink KAPMMorgan SSampaio JSaupe D. Computer Science in High Performance Sport-Applications and Implications for Professional Coaching (Dagstuhl Seminar 13272). Dagstuhl Reports. 2013
- Wei XSha LLucey PMorgan SSridharan S. Large-scale analysis of formations in soccer. Proceedings - International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013. 1-8. 2013
- Wei XLucey PMorgan SSridharan S. Predicting shot locations in tennis using spatiotemporal data. Proceedings - International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013. 1-8. 2013
- Lucey PBialkowski ACarr PMorgan SMatthews ISheikh Y. Representing and discovering adversarial team behaviors using player roles. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2706-2713. 2013
- Sha LLucey PMorgan SPease DSridharan S. Swimmer localization from a moving camera. Proceedings - Digital Image Computing: Techniques and Applications (DICTA), 2013 International Conference on. 1-8. 2013
- Morgan SWilliams M. Using Relative Phase of Position Derivatives to Quantify Within-Team Player Couplings. Mathematics & Computers in Sport. 129-138. 2012
- Morgan SBarnes CWilliams M. Analysis of Player Workloads for Defensive Outlets at the Champion’s Trophy international field hockey tournament. 16th annual Congress of the European college of Sport Science.. 2011
- Morgan S. Detecting Spatial Trends in Hockey Using Frequent Item Sets. Proceedings of the 8th International Symposium on Computer Science in Sport. 58-61. 2011
- Morgan SPatterson JSimpson D. Utilizing EOG for the Measurement of Saccadic Eye Movements. The Inaugural Conference of the Victorian Chapter of the IEEE Engineering in Medicine and Biology Society Biomedicial Research in the 3rd Millennium. 1999
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conference poster
- Wei XLucey PMorgan SSridharan S. “Sweet-Spot”: Using Spatiotemporal Data to Discover and Predict Shots in Tennis 2013
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review
- Morgan SStuart M. Computer Science in Sport – Research and Practice: A book review. International Journal of Computer Science in Sport. 59-63. 2016
- Morgan SStuart M. Computer Science in Sport–Research and Practice: A book review. International Journal of Computer Science in Sport. 59-63. 2016