Dimitrios Makris

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T J EllisProfessor, Kingston UniversityVerified email at kingston.ac.uk
Jean-Christophe NebelProfessor of Computer Science, Kingston University, LondonVerified email at kingston.ac.uk
Prof. Sergio A Velastin FIET SMIEEVisiting Professor, Queen Mary University of LondonVerified email at ieee.org
Jesús Martínez del RincónSenior Lecturer at Queen's University BelfastVerified email at qub.ac.uk
Vasileios ArgyriouKingston UniversityVerified email at kingston.ac.uk
Victoria BloomLecturer, Coventry UniversityVerified email at coventry.ac.uk
Fariborz Baghaei NaeiniChief Data Scientist, Honorary Visiting FellowVerified email at kingston.ac.uk
Spyridon BakasAssociate Professor, Indiana University. - Director, Division of Computational PathologyVerified email at iu.edu
Yahya ZweiriProfessor, Khalifa UniversityVerified email at ku.ac.ae
Georgios MastorakisCogniLabsVerified email at ieee.org
P S SidhuProfessor of Imaging SciencesVerified email at nhs.net
Carlos OrriteProfesor UZVerified email at unizar.es
James OrwellProfessor of Computer Science, Kingston UniversityVerified email at kingston.ac.uk
Carlos MedranoUniversity of ZaragozaVerified email at unizar.es
Amin RigiUniversity of EdinburghVerified email at ed.ac.uk
Gonzalo FariasPontificia Universidad Catolica de Valparaiso, UNED, CIEMATVerified email at ucv.cl
Ernesto FabregasComputer Science and Automatic Control. National University of Distance Education (UNED)Verified email at dia.uned.es
Heilym Ramirez RicoEstudiante Doctorado, Pontificia Universidad Católica de ValparaísoVerified email at pucv.cl
Bogdan VrusiasUniversity of SurreyVerified email at surrey.ac.uk
Sanket KacholeDoctor of Philosophy, Kingston UniversityVerified email at kingston.ac.uk

Dimitrios Makris

Professor in Computer Science, Kingston University

Verified email at kingston.ac.uk - Homepage

Computer Vision Machine Learning Pattern Recognition.


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Bridging the gaps between cameras D Makris, T Ellis, J Black Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the …, 2004	484	2004
Fall detection system using Kinect’s infrared sensor G Mastorakis, D Makris Journal of Real-Time Image Processing 9, 635-646, 2014	458	2014
Learning semantic scene models from observing activity in visual surveillance D Makris, T Ellis Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 35 …, 2005	360	2005
G3D: A Gaming Action Dataset and Real Time Action Recognition Evaluation Framework V Bloom, D Makris, V Argyriou Computer Vision and Pattern Recognition Workshops (CVPRW) 2012, 7-12, 2012	269	2012
Path detection in video surveillance D Makris, T Ellis Image and Vision Computing 20 (12), 895-903, 2002	214	2002
Performance evaluation of object tracking algorithms F Yin, D Makris, SA Velastin 10th IEEE International Workshop on Performance Evaluation of Tracking and …, 2007	204	2007
Learning a multi-camera topology TJ Ellis, D Makris, J Black Joint IEEE Workshop on Visual Surveillance and Performance Evaluation of …, 2003	144	2003
Automatic learning of an activity-based semantic scene model D Makris, T Ellis Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE …, 2003	142	2003
Spatial and probabilistic modelling of pedestrian behaviour D Makris, T Ellis Proc. British Machine Vision Conference, 557-566, 2002	105	2002
Tracking human position and lower body parts using Kalman and particle filters constrained by human biomechanics JM del Rincón, D Makris, CO Uruñuela, JC Nebel Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 41 …, 2011	84	2011
Fall detection and activity recognition using human skeleton features H Ramirez, SA Velastin, I Meza, E Fabregas, D Makris, G Farias Ieee Access 9, 33532-33542, 2021	81	2021
An object-based comparative methodology for motion detection based on the F-Measure N Lazarevic-McManus, JR Renno, D Makris, GA Jones Computer Vision and Image Understanding 111 (1), 74-85, 2008	81	2008
A novel dynamic-vision-based approach for tactile sensing applications FB Naeini, AM AlAli, R Al-Husari, A Rigi, MK Al-Sharman, D Makris, ... IEEE Transactions on Instrumentation and Measurement 69 (5), 1881-1893, 2019	70	2019
Finding paths in video sequences D Makris, T Ellis British machine vision conference 1, 253-272, 2001	65	2001
Temporal extension of laplacian eigenmaps for unsupervised dimensionality reduction of time series M Lewandowski, J Martinez-del-Rincon, D Makris, JC Nebel Pattern Recognition (ICPR), 2010 20th International Conference on, 161-164, 2010	64	2010
A novel event-based incipient slip detection using dynamic active-pixel vision sensor (DAVIS) A Rigi, F Baghaei Naeini, D Makris, Y Zweiri Sensors 18 (2), 333, 2018	50	2018
View and style-independent action manifolds for human activity recognition M Lewandowski, D Makris, JC Nebel Computer Vision–ECCV 2010, 547-560, 2010	48	2010
Application and evaluation of colour constancy in visual surveillance JP Renno, D Makris, T Ellis, GA Jones Visual Surveillance and Performance Evaluation of Tracking and Surveillance …, 2005	48	2005
One-shot learning of human activity with an MAP adapted GMM and simplex-HMM M Rodriguez, C Orrite, C Medrano, D Makris IEEE transactions on cybernetics 47 (7), 1769-1780, 2016	45	2016
Hierarchical transfer learning for online recognition of compound actions V Bloom, V Argyriou, D Makris Computer Vision and Image Understanding 144, 62-72, 2016	45	2016

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