Zulfiqar Hassan Khan
According to our database1,
Zulfiqar Hassan Khan
authored at least 16 papers
between 2009 and 2014.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2014
Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds.
Comput. Vis. Image Underst., 2014
Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling.
Proceedings of the International Conference on Distributed Smart Cameras, 2014
2013
Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling.
IEEE Trans. Cybern., 2013
2012
Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters.
PhD thesis, 2012
Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
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., 2011
Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters.
IEEE Trans. Circuits Syst. Video Technol., 2011
Visual trackingand dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Joint feature correspondences and appearance similarity for robust visual object tracking.
IEEE Trans. Inf. Forensics Secur., 2010
2009
Proceedings of the Advances in Multimedia Information Processing, 2009
Adaptive particle filters for visual object tracking using joint PCA appearance model and consensus point correspondences.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
Joint anisotropic mean shift and consensus point feature correspondences for object tracking in video.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas.
Proceedings of the International Conference on Image Processing, 2009