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Zulfiqar Hasan Khan
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Year
Robust visual object tracking using multi-mode anisotropic mean shift and particle filters
ZH Khan, IYH Gu, AG Backhouse
IEEE transactions on circuits and systems for video technology 21 (1), 74-87, 2011
1572011
Joint feature correspondences and appearance similarity for robust visual object tracking
ZH Khan, IYH Gu
IEEE Transactions on information forensics and security 5 (3), 591-606, 2010
452010
Nonlinear dynamic model for visual object tracking on Grassmann manifolds with partial occlusion handling
ZH Khan, IYH Gu
IEEE transactions on cybernetics 43 (6), 2005-2019, 2013
292013
Towards a low cost Brain-computer Interface for real time control of a 2 DOF robotic arm
M Fatima, M Shafique, ZH Khan
2015 International Conference on Emerging Technologies (ICET), 1-6, 2015
252015
Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking
ZH Khan, IYH Gu
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
182011
A robust particle filter-based method for tracking single visual object through complex scenes using dynamical object shape and appearance similarity
ZH Khan, IYH Gu, AG Backhouse
Journal of Signal Processing Systems 65, 63-79, 2011
182011
Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds
ZH Khan, IYH Gu
Computer Vision and Image Understanding 125, 97-114, 2014
172014
Video-based detection and analysis of driver distraction and inattention
Y Yun, IYH Gu, M Bolbat, ZH Khan
2014 International Conference on Signal Processing and Integrated Networks …, 2014
162014
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling
ZH Khan, IYH Gu
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
122011
Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas
ZH Khan, IYH Gu, A Backhouse
2009 16th IEEE International Conference on Image Processing (ICIP), 4077-4080, 2009
122009
Joint anisotropic mean shift and consensus point feature correspondences for object tracking in video
ZH Khan, IYH Gu, T Wang, A Backhouse
2009 IEEE International Conference on Multimedia and Expo, 1270-1273, 2009
92009
Online learning and robust visual tracking using local features and global appearances of video objects
IYH Gu, ZH Khan
Object Tracking, 2011
52011
Visual trackingand dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models
ZH Khan, IYH Gu
2011 18th IEEE International Conference on Image Processing, 1433-1436, 2011
42011
Adaptive particle filters for visual object tracking using joint PCA appearance model and consensus point correspondences
T Wang, IYH Gu, ZH Khan, P Shi
2009 IEEE International Conference on Multimedia and Expo, 1370-1373, 2009
42009
Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation
IYH Gu, ZH Khan
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
32012
Pedestrian tracking using MEMS based wireless inertial measurement unit
ZH Khan, M Arif, AJ Kattan, S Ali, K Munawar
presented at the The 4th International Conference on Computer Engineering …, 2015
22015
Robust object tracking using particle filters and multi-region mean shift
A Backhouse, ZH Khan, IYH Gu
Advances in Multimedia Information Processing-PCM 2009: 10th Pacific Rim …, 2009
22009
Adaptive appearance learning for visual object tracking
ZH Khan, IYH Gu
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
12011
Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling
IYH Gu, ZH Khan
Proceedings of the International Conference on Distributed Smart Cameras, 1-6, 2014
2014
Domain-shift tracking: Online learning and visual object tracking on smooth manifolds
IYH Gu, ZH Khan
2014 International Conference on Signal Processing and Integrated Networks …, 2014
2014
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