Document Detail


UNSUPERVISED MARKERLESS 3-DOF MOTION TRACKING IN REAL TIME USING A SINGLE LOW-BUDGET CAMERA.
MedLine Citation:
PMID:  22916719     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Motion tracking is a critical task in many computer vision applications. Existing motion tracking techniques require either a great amount of knowledge on the target object or specific hardware. These requirements discourage the wide spread of commercial applications based on motion tracking. In this paper, we present a novel three degrees of freedom motion tracking system that needs no knowledge on the target object and that only requires a single low-budget camera that can be found installed in most computers and smartphones. Our system estimates, in real time, the three-dimensional position of a nonmodeled unmarked object that may be nonrigid, nonconvex, partially occluded, self-occluded, or motion blurred, given that it is opaque, evenly colored, enough contrasting with the background in each frame, and that it does not rotate. Our system is also able to determine the most relevant object to track in the screen. Our proposal does not impose additional constraints, therefore it allows a market-wide implementation of applications that require the estimation of the three position degrees of freedom of an object.
Authors:
Luis Quesada; Alejandro J León
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-27
Journal Detail:
Title:  International journal of neural systems     Volume:  -     ISSN:  0129-0657     ISO Abbreviation:  Int J Neural Syst     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-8-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100527     Medline TA:  Int J Neural Syst     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1250019     Citation Subset:  -    
Affiliation:
Department of Computer Science and Artificial Intelligence, CITIC, University of Granada, Granada, 18071, Spain.
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