Syed Mohsen Naqvi
Syed Mohsen Naqvi
School of Engineering, Newcastle University, United Kingdom
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment
M Yu, A Rhuma, SM Naqvi, L Wang, J Chambers
IEEE transactions on information technology in biomedicine 16 (6), 1274-1286, 2012
A multimodal approach to blind source separation of moving sources
SM Naqvi, M Yu, JA Chambers
IEEE Journal of Selected Topics in Signal Processing 4 (5), 895-910, 2010
An online one class support vector machine-based person-specific fall detection system for monitoring an elderly individual in a room environment
M Yu, Y Yu, A Rhuma, SMR Naqvi, L Wang, JA Chambers
IEEE journal of biomedical and health informatics 17 (6), 1002-1014, 2013
Particle PHD filter based multiple human tracking using online group-structured dictionary learning
Z Fu, P Feng, F Angelini, J Chambers, SM Naqvi
IEEE access 6, 14764-14778, 2018
Audiovisual speech source separation: An overview of key methodologies
B Rivet, W Wang, SM Naqvi, JA Chambers
IEEE Signal Processing Magazine 31 (3), 125-134, 2014
Deep learning for posture analysis in fall detection
P Feng, M Yu, SM Naqvi, JA Chambers
2014 19th International Conference on Digital Signal Processing, 12-17, 2014
Multi-level cooperative fusion of GM-PHD filters for online multiple human tracking
Z Fu, F Angelini, J Chambers, SM Naqvi
IEEE Transactions on Multimedia 21 (9), 2277-2291, 2019
Multi-target tracking and occlusion handling with learned variational Bayesian clusters and a social force model
A Ur-Rehman, SM Naqvi, L Mihaylova, JA Chambers
IEEE Transactions on Signal Processing 64 (5), 1320-1335, 2015
Social force model-based MCMC-OCSVM particle PHD filter for multiple human tracking
P Feng, W Wang, S Dlay, SM Naqvi, J Chambers
IEEE Transactions on Multimedia 19 (4), 725-739, 2016
Multimodal (audio–visual) source separation exploiting multi-speaker tracking, robust beamforming and time–frequency masking
SM Naqvi, W Wang, MS Khan, M Barnard, JA Chambers
IET Signal Processing 6 (5), 466-477, 2012
One class boundary method classifiers for application in a video-based fall detection system
M Yu, SM Naqvi, A Rhuma, J Chambers
IET computer vision 6 (2), 90-100, 2012
A robust Student's t based cubature filter
Y Huang, Y Zhang, N Li, SM Naqvi, J Chambers
2016 19th International Conference on Information Fusion (FUSION), 9-16, 2016
Fall detection in the elderly by head tracking
M Yu, SM Naqvi, J Chambers
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 357-360, 2009
Independent vector analysis with multivariate student's t‐distribution source prior for speech separation
Y Liang, G Chen, SMR Naqvi, JA Chambers
Electronics Letters 49 (16), 1035-1036, 2013
Independent vector analysis with a generalized multivariate Gaussian source prior for frequency domain blind source separation
Y Liang, J Harris, SM Naqvi, G Chen, JA Chambers
Signal Processing 105, 175-184, 2014
Robust multi-speaker tracking via dictionary learning and identity modeling
M Barnard, P Koniusz, W Wang, J Kittler, SM Naqvi, J Chambers
IEEE Transactions on Multimedia 16 (3), 864-880, 2014
Video-aided model-based source separation in real reverberant rooms
MS Khan, SM Naqvi, W Wang, J Chambers
IEEE Transactions on Audio, Speech, and Language Processing 21 (9), 1900-1912, 2013
Design and optimisation of mutual inductance based pulsed eddy current probe
DI Ona, GY Tian, R Sutthaweekul, SM Naqvi
Measurement 144, 402-409, 2019
Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound
T Tsalaile, SM Naqvi, K Nazarpour, S Sanei, JA Chambers
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
A robust fall detection system for the elderly in a smart room
M Yu, SM Naqvi, J Chambers
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
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