Domain-Shift Tracking: Online Learning and Visual Object Tracking on Smooth Manifolds
Paper in proceeding, 2014
particle filters
Bayesian tracking
manifold tracking
domainshift online learning
Grassmann manifolds
object tracking
Riemannian manifolds
piecewise geodesic
domain-shift tracking
nonlinear state space model.
Author
Irene Yu-Hua Gu
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
Zulfiqar Hasan Khan
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
Proceedings of the 1st International Conference on Signal Processing and Integrated Networks, SPIN 2014; Noida; India; 20 February 2014 through 21 February 2014
209-215
978-147992866-8 (ISBN)
Areas of Advance
Information and Communication Technology
Transport
Subject Categories
Geometry
Information Science
Signal Processing
Computer Vision and Robotics (Autonomous Systems)
DOI
10.1109/spin.2014.6776949
ISBN
978-147992866-8