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Seguimiento visual artificial

Authors: Guerra Artal, Cayetano Nicolás;

Seguimiento visual artificial

Abstract

Entre las capacidades visuales que posee el ser humano se encuentra la de poder seguir objetos que tenemos delante. Aunque lo hagamos de forma inconsciente, mediante esta capacidad podemos realizar múltiples actividades cotidianas, como leer, caminar, conducir, etc. El seguimiento visual está estrechamente imbricado con muchas de las tareas que realizamos. La introducción de estas capacidades en los sistemas visuales artificiales es una de las áreas de investigación en la visión por computador y la robótica de hoy en día. El propósito de este trabajo ha consistido en la introducción de una clase de mejoras que permiten la adaptación automática de los sistemas de visión a entornos variables.

Among the several capabilities that human beings own, tracking of objects is one of them. Although we perform it in an unconscious way, by means of this capacity we can carry out multiple daily tasks, like reading, walking, driving, etc. Visual tracking is tightly linked with many of the tasks we do. Nowadays, introducing these capabilities in artificial visual systems is one of the research areas in computer vision and robotics. The aim of this work has been a kind of improvement that allows an automatic adaptation of visual systems to changing environments.

Country
Spain
Keywords

120304 Inteligencia artificial, 3304 Tecnología de los ordenadores

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green