Paper Info
Title
A switched systems approach to image-based localization of targets that temporarily leave the field of view
Abstract
Vision sensors provide rich information about the environment and can be utilized for tracking the position of moving objects from a moving camera. This paper presents the development of dwell time conditions to guarantee convergence to an ultimate bound of state estimation errors for a class of vision based observers with intermittent measurements. Bounds are developed on the unstable growth of the estimation errors during the periods when the object being tracked is not visible. A Lyapunov analysis for the switched system is performed to develop an inequality in terms of the duration of time the observer can view the moving object and the duration of time the object is out of the field of view.
Year
DOI
Venue
2014
10.1109/CDC.2014.7039722
Decision and Control
Keywords
Field
DocType
Lyapunov methods,convergence,image processing,image sensors,observers,target tracking,Lyapunov analysis,convergence,dwell time conditions,image-based localization,intermittent measurements,moving camera,moving objects,observers,position tracking,state estimation errors,switched systems approach,vision sensors
Field of view,Convergence (routing),Dwell time,Lyapunov function,Computer vision,Control theory,Computer science,Image based,Vision based,Artificial intelligence,Observer (quantum physics)
Conference
ISSN
Citations 
PageRank 
0743-1546
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Anup Parikh1186.05
Teng-Hu Cheng2838.58
Ryan Licitra353.12
Warren E. Dixon41757149.42