What image information is important in silhouette-based gait recognition? GV Veres, L Gordon, JN Carter, MS Nixon Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 243 | 2004 |
Online classification of visual tasks for industrial workflow monitoring A Voulodimos, D Kosmopoulos, G Veres, H Grabner, L Van Gool, ... Neural Networks 24 (8), 852-860, 2011 | 37 | 2011 |
Automatic workflow monitoring in industrial environments G Veres, H Grabner, L Middleton, L Van Gool Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011 | 31 | 2011 |
Modelling the time-variant covariates for gait recognition GV Veres, MS Nixon, JN Carter Audio-and Video-Based Biometric Person Authentication: 5th International …, 2005 | 30 | 2005 |
Fusion of dynamic and static features for gait recognition over time GV Veres, MS Nixon, L Middleton, JN Carter 2005 7th International Conference on Information Fusion 2, 7 pp., 2005 | 28 | 2005 |
Model-based approaches for predicting gait changes over time GV Veres, MS Nixon, JN Carter 2005 International Conference on Intelligent Sensors, Sensor Networks and …, 2005 | 22 | 2005 |
Is enough enough? What is sufficiency in biometric data? GV Veres, MS Nixon, JN Carter Image Analysis and Recognition: Third International Conference, ICIAR 2006 …, 2006 | 13 | 2006 |
Large scale surveillance, detection and alerts information management system for critical infrastructure Z Sabeur, Z Zlatev, P Melas, G Veres, B Arbab-Zavar, L Middleton, ... Environmental Software Systems. Computer Science for Environmental …, 2017 | 12 | 2017 |
Improvement of the particle filter by better choice of the predicted sample set JP Norton, GV Veres IFAC Proceedings Volumes 35 (1), 365-370, 2002 | 10 | 2002 |
EO Big Data connectors and analytics for understanding the effects of climate change on migratory trends of marine wildlife ZA Sabeur, G Correndo, G Veres, B Arbab-Zavar, J Lorenzo, T Habib, ... Environmental Software Systems. Computer Science for Environmental …, 2017 | 8 | 2017 |
Agile data fusion and knowledge base architecture for critical decision support Z Zlatev, G Veres, Z Sabeur International Journal of Decision Support System Technology (IJDSST) 5 (2), 1-20, 2013 | 8 | 2013 |
Benchmarking knowledge-assisted kriging for automated spatial interpolation of wind measurements Z Zlatev, SE Middleton, G Veres 2010 13th International Conference on Information Fusion, 1-8, 2010 | 8 | 2010 |
SANY fusion and modelling architecture SE Middleton, G Veres, Z Zlatev OGC Discussion paper 10-001, 2010 [6] SANY project, http://www. sany-ip. eu, 2009 | 8 | 2009 |
The military knowledge information fusion via semantic web technologies GV Veres, TD Huynh, MS Nixon, PR Smart, NR Shadbolt ITA Report, 2006 | 8 | 2006 |
Ordinary kriging for on-demand average wind interpolation of in-situ wind sensor data Z Zlatev, S Middleton, G Veres | 6 | 2009 |
Global optimisation-based control algorithms applied to boundary layer transition problems GV Veres, OR Tutty, E Rogers, PA Nelson Control engineering practice 12 (4), 475-490, 2004 | 5 | 2004 |
EO big data analytics for the discovery of new trends of marine species habitats in a changing global climate Z Sabeur, G Correndo, G Veres, B Arbab-Zavar, G Neumann, TD Ivall, ... European Union, 2017 | 4 | 2017 |
Data Analytics for Drilling Operational States Classifications. GV Veres, ZA Sabeur ESANN, 2015 | 4 | 2015 |
A Semantic Risk Management Framework for Digital Audio-Visual Media Preservation V Engen, G Veres, S Crowle, M Bashevoy, P Walland, M Hall-May | 4 | 2015 |
Automated operational states detection for drilling systems control in critical conditions G Veres, Z Sabeur | 3 | 2013 |