Int J Neural Syst - Unsupervised markerless 3-DOF motion tracking in real time using a single low-budget camera.

Tópicos

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Resumo

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.

Resumo Limpo

motion track critic task mani comput vision applic exist motion track techniqu requir either great amount knowledg target object specif hardwar requir discourag wide spread commerci applic base motion track paper present novel three degre freedom motion track system need knowledg target object requir singl lowbudget camera can found instal comput smartphon system estim real time threedimension posit nonmodel unmark object may nonrigid nonconvex partial occlud selfocclud motion blur given opaqu even color enough contrast background frame rotat system also abl determin relev object track screen propos impos addit constraint therefor allow marketwid implement applic requir estim three posit degre freedom object

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