Zulfiqar Hasan Khan

Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling

Online Domain-Shift Learning and Object Tracking based on Nonlinear Dynamic Models and Particle Filters on Riemannian Manifolds

Video-Based Detection and Analysis of Driver Distraction and Inattention

Domain-Shift Tracking: Online Learning and Visual Object Tracking on Smooth Manifolds

Domain-Shift Manifold Online Learning and Tracking of Video Objects

Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling

2012

Grassmann Manifold Online Learning and Partial Occlusion Handling for Visual Object Tracking under Bayesian Formulation

2012

Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters

2011

Adaptive appearance learning for visual object tracking

A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity

2011

Tracking Visual and Infrared Objects using Joint Riemannian Manifold Appearance and Affine Shape Modeling

2011

Visual Tracking and Dynamic Learning on the Grassmann Manifold with Inference from a Bayesian Framework and State Space Models

Robust Visual Object Tracking using Multi-Mode Anisotropic Mean Shift and Particle Filters

2011

Bayesian Online Learning on the Riemannian Manifold using A Dual Model with Applications to Video Object Tracking

Chapter 5: Online Learning and Robust Visual Tracking using Local Features and Global Appearances of Video Objects

Joint Feature Correspondences and Appearance Similarity for Robust Visual Object Tracking

Visual tracking for video surveillance and vehicle safety

Robust Visual Object Tracking mean shift, particle filters and point features

Adaptive Particle Filters for Visual Object Tracking using Joint PCA Appearance Model and Consensus Point Correspondences

Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas

Joint Anisotropic Mean Shift and Consensus Point Feature Correspondences for Object Tracking in Video

Robust Object Tracking using Particle Filters and Multi-Region Mean Shift