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Zulfiqar Hassan Khan
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Books and Theses
- 2012
- [b1]Zulfiqar Hassan Khan:
Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters. Chalmers University of Technology, Gothenburg, Sweden, 2012
Journal Articles
- 2014
- [j5]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds. Comput. Vis. Image Underst. 125: 97-114 (2014) - 2013
- [j4]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling. IEEE Trans. Cybern. 43(6): 2005-2019 (2013) - 2011
- [j3]Zulfiqar Hassan Khan, Irene Yu-Hua Gu, Andrew G. Backhouse:
Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters. IEEE Trans. Circuits Syst. Video Technol. 21(1): 74-87 (2011) - [j2]Zulfiqar Hassan Khan, Irene Yu-Hua Gu, Andrew G. Backhouse:
A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity. J. Signal Process. Syst. 65(1): 63-79 (2011) - 2010
- [j1]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Joint feature correspondences and appearance similarity for robust visual object tracking. IEEE Trans. Inf. Forensics Secur. 5(3): 591-606 (2010)
Conference and Workshop Papers
- 2014
- [c10]Irene Yu-Hua Gu, Zulfiqar Hassan Khan:
Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling. ICDSC 2014: 37:1-37:6 - 2012
- [c9]Irene Y. H. Gu, Zulfiqar Hassan Khan:
Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation. ICPR 2012: 1463-1466 - 2011
- [c8]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Adaptive appearance learning for visual object tracking. ICASSP 2011: 1413-1416 - [c7]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking. ICCV Workshops 2011: 1402-1409 - [c6]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling. ICCV Workshops 2011: 1847-1854 - [c5]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Visual trackingand dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models. ICIP 2011: 1433-1436 - 2009
- [c4]Zulfiqar Hassan Khan, Irene Y. H. Gu, Andrew G. Backhouse:
Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas. ICIP 2009: 4077-4080 - [c3]Zulfiqar Hassan Khan, Irene Y. H. Gu, Tiesheng Wang, Andrew G. Backhouse:
Joint anisotropic mean shift and consensus point feature correspondences for object tracking in video. ICME 2009: 1270-1273 - [c2]Tiesheng Wang, Irene Y. H. Gu, Zulfiqar Hassan Khan, Pengfei Shi:
Adaptive particle filters for visual object tracking using joint PCA appearance model and consensus point correspondences. ICME 2009: 1370-1373 - [c1]Andrew G. Backhouse, Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Robust Object Tracking Using Particle Filters and Multi-region Mean Shift. PCM 2009: 393-403
Coauthor Index
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